TY  - JOUR
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
PY  - 2020
UR  - http://rims.institutims.rs/handle/123456789/383
AB  - This research studies the effects of composition and granulometry analysis of 139 heavy clays on the important characteristics of wet and adobe clay bricks. ANN models were obtained with high prediction accuracy in training cycles (r(2)): 0.580-0.907. Standard score analysis (SS) is performed to evaluate the optimal content of raw materials to gain adobe bricks. Optimal macro-oxides content was 53-66% SiO2, 4.6-7.5% Fe2O3, 12.5-18.2% Al2O3, 0.9-8.8% CaO, 1.2-3.6% MgO. The optimal quantity of alevrolite-sized particles varied between 46 and 65%, and clay-sized particles contents ranged from 20.4 to 40.6%.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - Optimization of adobe clay bricks based on the raw material properties (mathematical analysis)
VL  - 244
DO  - 10.1016/j.conbuildmat.2020.118342
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Radojević, Zagorka",
year = "2020",
abstract = "This research studies the effects of composition and granulometry analysis of 139 heavy clays on the important characteristics of wet and adobe clay bricks. ANN models were obtained with high prediction accuracy in training cycles (r(2)): 0.580-0.907. Standard score analysis (SS) is performed to evaluate the optimal content of raw materials to gain adobe bricks. Optimal macro-oxides content was 53-66% SiO2, 4.6-7.5% Fe2O3, 12.5-18.2% Al2O3, 0.9-8.8% CaO, 1.2-3.6% MgO. The optimal quantity of alevrolite-sized particles varied between 46 and 65%, and clay-sized particles contents ranged from 20.4 to 40.6%.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "Optimization of adobe clay bricks based on the raw material properties (mathematical analysis)",
volume = "244",
doi = "10.1016/j.conbuildmat.2020.118342"
}

Vasić, M., Pezo, L.,& Radojević, Z.. (2020). Optimization of adobe clay bricks based on the raw material properties (mathematical analysis). in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 244.
https://doi.org/10.1016/j.conbuildmat.2020.118342

Vasić M, Pezo L, Radojević Z. Optimization of adobe clay bricks based on the raw material properties (mathematical analysis). in Construction and Building Materials. 2020;244.
doi:10.1016/j.conbuildmat.2020.118342 .

Vasić, Milica, Pezo, Lato, Radojević, Zagorka, "Optimization of adobe clay bricks based on the raw material properties (mathematical analysis)" in Construction and Building Materials, 244 (2020),
https://doi.org/10.1016/j.conbuildmat.2020.118342 . .

TY  - JOUR
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Zdravković, Jelena
AU  - Vrebalov, Marija
AU  - Radojević, Zagorka
PY  - 2018
UR  - http://rims.institutims.rs/handle/123456789/352
AB  - This research describes a study of 11 selected samples of brick clays applied in roofing tile production, by using simultaneous thermal analysis. Additionally, the laboratory-sized samples were prepared and fired (850-950 degrees C) and technological properties were determined. Mathematical analysis was applied to sum all the experimental results and help discriminate the samples by their behavior during firing. The samples, very similar according to mineralogical and chemical content, as well as granulometry tests, were successfully grouped using principal component analysis (PCA). The PCA was used to explore and easily visualize the differences between samples. The PCA performed for differential thermal analysis (DTA), differential scanning calorimetry (DSC) and differential thermogravimetry (DTG) curves clearly showed that the heat flow was mainly influenced by carbonate content and its grain size, while DTG discriminated samples according to the contents of clay minerals and carbonates. In addition, dilatometry analysis revealed which samples underwent the highest densification during the firing process. The PCA analysis of fired products properties showed that the highest correlations were between water absorption with firing shrinkage and compressive strength.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - Thermal, Ceramic and Technological Properties of Clays used in Production of Roofing Tiles - Principal Component Analysis
EP  - 500
IS  - 4
SP  - 487
VL  - 50
DO  - 10.2298/SOS1804487V
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Zdravković, Jelena and Vrebalov, Marija and Radojević, Zagorka",
year = "2018",
abstract = "This research describes a study of 11 selected samples of brick clays applied in roofing tile production, by using simultaneous thermal analysis. Additionally, the laboratory-sized samples were prepared and fired (850-950 degrees C) and technological properties were determined. Mathematical analysis was applied to sum all the experimental results and help discriminate the samples by their behavior during firing. The samples, very similar according to mineralogical and chemical content, as well as granulometry tests, were successfully grouped using principal component analysis (PCA). The PCA was used to explore and easily visualize the differences between samples. The PCA performed for differential thermal analysis (DTA), differential scanning calorimetry (DSC) and differential thermogravimetry (DTG) curves clearly showed that the heat flow was mainly influenced by carbonate content and its grain size, while DTG discriminated samples according to the contents of clay minerals and carbonates. In addition, dilatometry analysis revealed which samples underwent the highest densification during the firing process. The PCA analysis of fired products properties showed that the highest correlations were between water absorption with firing shrinkage and compressive strength.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "Thermal, Ceramic and Technological Properties of Clays used in Production of Roofing Tiles - Principal Component Analysis",
pages = "500-487",
number = "4",
volume = "50",
doi = "10.2298/SOS1804487V"
}

Vasić, M., Pezo, L., Zdravković, J., Vrebalov, M.,& Radojević, Z.. (2018). Thermal, Ceramic and Technological Properties of Clays used in Production of Roofing Tiles - Principal Component Analysis. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 50(4), 487-500.
https://doi.org/10.2298/SOS1804487V

Vasić M, Pezo L, Zdravković J, Vrebalov M, Radojević Z. Thermal, Ceramic and Technological Properties of Clays used in Production of Roofing Tiles - Principal Component Analysis. in Science of Sintering. 2018;50(4):487-500.
doi:10.2298/SOS1804487V .

Vasić, Milica, Pezo, Lato, Zdravković, Jelena, Vrebalov, Marija, Radojević, Zagorka, "Thermal, Ceramic and Technological Properties of Clays used in Production of Roofing Tiles - Principal Component Analysis" in Science of Sintering, 50, no. 4 (2018):487-500,
https://doi.org/10.2298/SOS1804487V . .

TY  - JOUR
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Zdravković, Jelena
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
PY  - 2018
UR  - http://rims.institutims.rs/handle/123456789/351
AB  - The main idea of this research was to evaluate rice and sunflower hulls, sawdust and their ashes, as additives in clay brick production using mathematical analysis. All available papers, containing the parameters of interest, were used in the study, which consisted of total 316 cases, obtained from the literature. The major oxide content of clays and mixtures, then weight percent addition and particle size ranges of secondary raw materials, and process parameters (firing temperature, soaking time and average heating rate) were selected as inputs to mathematical models. Shaping moist was the only parameter characterizing transition state of the products analyzed as an output parameter. The other parameters described the fired product quality: linear shrinkage, bulk density, water absorption, compressive and bending strength. The main goal was to find the relationships and the main influences between raw material properties, process parameters, and the quality of the obtained products and mixtures, by using mathematical tools. Statistical and mathematical analyses were applied for prediction of final product quality. Developed artificial neural network empirical models (ANNs) give a reasonable fit to experimental data and successfully predict the most of the observed output variables, showing the good prediction capabilities (coefficient of determination varied between 0.714 and 0.998). Sensitivity analysis showed that, among all the studied parameters concerning raw materials and process parameters, the dominant influence belonged to loss on ignition.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)
EP  - 1276
IS  - 2
SP  - 1269
VL  - 44
DO  - 10.1016/j.ceramint.2017.10.191
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Zdravković, Jelena and Stanković, Slavka and Radojević, Zagorka",
year = "2018",
abstract = "The main idea of this research was to evaluate rice and sunflower hulls, sawdust and their ashes, as additives in clay brick production using mathematical analysis. All available papers, containing the parameters of interest, were used in the study, which consisted of total 316 cases, obtained from the literature. The major oxide content of clays and mixtures, then weight percent addition and particle size ranges of secondary raw materials, and process parameters (firing temperature, soaking time and average heating rate) were selected as inputs to mathematical models. Shaping moist was the only parameter characterizing transition state of the products analyzed as an output parameter. The other parameters described the fired product quality: linear shrinkage, bulk density, water absorption, compressive and bending strength. The main goal was to find the relationships and the main influences between raw material properties, process parameters, and the quality of the obtained products and mixtures, by using mathematical tools. Statistical and mathematical analyses were applied for prediction of final product quality. Developed artificial neural network empirical models (ANNs) give a reasonable fit to experimental data and successfully predict the most of the observed output variables, showing the good prediction capabilities (coefficient of determination varied between 0.714 and 0.998). Sensitivity analysis showed that, among all the studied parameters concerning raw materials and process parameters, the dominant influence belonged to loss on ignition.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)",
pages = "1276-1269",
number = "2",
volume = "44",
doi = "10.1016/j.ceramint.2017.10.191"
}

Vasić, M., Pezo, L., Zdravković, J., Stanković, S.,& Radojević, Z.. (2018). Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review). in Ceramics International
Elsevier Sci Ltd, Oxford., 44(2), 1269-1276.
https://doi.org/10.1016/j.ceramint.2017.10.191

Vasić M, Pezo L, Zdravković J, Stanković S, Radojević Z. Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review). in Ceramics International. 2018;44(2):1269-1276.
doi:10.1016/j.ceramint.2017.10.191 .

Vasić, Milica, Pezo, Lato, Zdravković, Jelena, Stanković, Slavka, Radojević, Zagorka, "Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)" in Ceramics International, 44, no. 2 (2018):1269-1276,
https://doi.org/10.1016/j.ceramint.2017.10.191 . .

TY  - JOUR
AU  - Pezo, Milada
AU  - Pezo, Lato
AU  - Jovanović, Aca P.
AU  - Terzić, Anja
AU  - Andrić, Ljubiša
AU  - Lončar, Biljana
AU  - Kojić, Predrag
PY  - 2018
UR  - http://rims.institutims.rs/handle/123456789/353
AB  - In this paper, five types of horizontal single-pitch screw conveyors with modified geometry, with three different lengths (400, 600 and 800 mm) were investigated for transport and auxiliary mixing action of two materials: natural zeolite and quartz aggregate (sand) with particle sizes 3, 4 and 5 mm. The geometry of the screw transporter is changed by welding three additional helices oriented in the same or the opposite direction from screw cutting edges, enabling the premixing of materials, during the transport. The proper mixing of the observed materials provides an adequate disposition of zeolite particles within the composite and prevents agglomeration and interference with cement hydration. Zeolite application as a binder in a building material is a possible solution to environmental pollution problems caused by cement production. The influences of screw length, particle diameter, the studied geometry variations of screw design, on the mixing performances of the screw conveyor-mixer during material transport were explored. All investigations were performed experimentally and numerically, by using Discrete Element Method (DEM). The experimental results and the results of the DEM investigation were used for the development of mathematical models for the prediction of mixing quality, which are presented in the form of second order polynomial and artificial neural network model.
PB  - Elsevier Science Bv, Amsterdam
T2  - Powder Technology
T1  - Discrete element model of particle transport and premixing action in modified screw conveyors
EP  - 264
SP  - 255
VL  - 336
DO  - 10.1016/j.powtec.2018.06.009
ER  - 

@article{
author = "Pezo, Milada and Pezo, Lato and Jovanović, Aca P. and Terzić, Anja and Andrić, Ljubiša and Lončar, Biljana and Kojić, Predrag",
year = "2018",
abstract = "In this paper, five types of horizontal single-pitch screw conveyors with modified geometry, with three different lengths (400, 600 and 800 mm) were investigated for transport and auxiliary mixing action of two materials: natural zeolite and quartz aggregate (sand) with particle sizes 3, 4 and 5 mm. The geometry of the screw transporter is changed by welding three additional helices oriented in the same or the opposite direction from screw cutting edges, enabling the premixing of materials, during the transport. The proper mixing of the observed materials provides an adequate disposition of zeolite particles within the composite and prevents agglomeration and interference with cement hydration. Zeolite application as a binder in a building material is a possible solution to environmental pollution problems caused by cement production. The influences of screw length, particle diameter, the studied geometry variations of screw design, on the mixing performances of the screw conveyor-mixer during material transport were explored. All investigations were performed experimentally and numerically, by using Discrete Element Method (DEM). The experimental results and the results of the DEM investigation were used for the development of mathematical models for the prediction of mixing quality, which are presented in the form of second order polynomial and artificial neural network model.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Powder Technology",
title = "Discrete element model of particle transport and premixing action in modified screw conveyors",
pages = "264-255",
volume = "336",
doi = "10.1016/j.powtec.2018.06.009"
}

Pezo, M., Pezo, L., Jovanović, A. P., Terzić, A., Andrić, L., Lončar, B.,& Kojić, P.. (2018). Discrete element model of particle transport and premixing action in modified screw conveyors. in Powder Technology
Elsevier Science Bv, Amsterdam., 336, 255-264.
https://doi.org/10.1016/j.powtec.2018.06.009

Pezo M, Pezo L, Jovanović AP, Terzić A, Andrić L, Lončar B, Kojić P. Discrete element model of particle transport and premixing action in modified screw conveyors. in Powder Technology. 2018;336:255-264.
doi:10.1016/j.powtec.2018.06.009 .

Pezo, Milada, Pezo, Lato, Jovanović, Aca P., Terzić, Anja, Andrić, Ljubiša, Lončar, Biljana, Kojić, Predrag, "Discrete element model of particle transport and premixing action in modified screw conveyors" in Powder Technology, 336 (2018):255-264,
https://doi.org/10.1016/j.powtec.2018.06.009 . .

TY  - JOUR
AU  - Vasić, Milica
AU  - Pezo, Lato
AU  - Zdravković, Jelena
AU  - Backalić, Z.
AU  - Radojević, Zagorka
PY  - 2017
UR  - http://rims.institutims.rs/handle/123456789/315
AB  - The aim of this study was to test montmorillonite and hydromica type of brick clays by using simultaneous thermal analysis and dilatometry in an assessment of the suitability of brick clays to produce building elements. The plasticity coefficient and drying susceptibility were determined to discover the behavior of brick clays. Fired products' characteristics were studied by performing water absorption and compressive strength tests. All the methods were employed in the construction of the firing curves in a tunnel kiln. The results could increase the degree of certainty to lead the production process towards obtaining the desired features of brick elements.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - The study of thermal behavior of montmorillonite and hydromica brick clays in predicting tunnel kiln firing curve
EP  - 879
SP  - 872
VL  - 150
DO  - 10.1016/j.conbuildmat.2017.06.068
ER  - 

@article{
author = "Vasić, Milica and Pezo, Lato and Zdravković, Jelena and Backalić, Z. and Radojević, Zagorka",
year = "2017",
abstract = "The aim of this study was to test montmorillonite and hydromica type of brick clays by using simultaneous thermal analysis and dilatometry in an assessment of the suitability of brick clays to produce building elements. The plasticity coefficient and drying susceptibility were determined to discover the behavior of brick clays. Fired products' characteristics were studied by performing water absorption and compressive strength tests. All the methods were employed in the construction of the firing curves in a tunnel kiln. The results could increase the degree of certainty to lead the production process towards obtaining the desired features of brick elements.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "The study of thermal behavior of montmorillonite and hydromica brick clays in predicting tunnel kiln firing curve",
pages = "879-872",
volume = "150",
doi = "10.1016/j.conbuildmat.2017.06.068"
}

Vasić, M., Pezo, L., Zdravković, J., Backalić, Z.,& Radojević, Z.. (2017). The study of thermal behavior of montmorillonite and hydromica brick clays in predicting tunnel kiln firing curve. in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 150, 872-879.
https://doi.org/10.1016/j.conbuildmat.2017.06.068

Vasić M, Pezo L, Zdravković J, Backalić Z, Radojević Z. The study of thermal behavior of montmorillonite and hydromica brick clays in predicting tunnel kiln firing curve. in Construction and Building Materials. 2017;150:872-879.
doi:10.1016/j.conbuildmat.2017.06.068 .

Vasić, Milica, Pezo, Lato, Zdravković, Jelena, Backalić, Z., Radojević, Zagorka, "The study of thermal behavior of montmorillonite and hydromica brick clays in predicting tunnel kiln firing curve" in Construction and Building Materials, 150 (2017):872-879,
https://doi.org/10.1016/j.conbuildmat.2017.06.068 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Radulović, Dragan
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Miličić, Ljiljana
AU  - Stojanović, Jovica
AU  - Grigorova, Irena
PY  - 2017
UR  - http://rims.institutims.rs/handle/123456789/322
AB  - The effect of the combined actions of milling and hydrophobization procedures applied in construction composites synthesis was investigated. The mortars were prepared with cement (CEM I 42.5) and calcite aggregate complying the standard 1:3 mix ratio. The limestone filler (10 wt%) was added to the mixture upon its mechano-chemical activation in an ultra-centrifugal mill. The activation variables (milling time, rotor velocity, sieve mesh size) were altered to achieve the optimal quality of the powder. The treatment was optimized via chemometric tools. The r(2) values (0.955-0.998) of second order polynomial models accurately predicted the output and the Standard score analysis chose the optimal activation parameters: 4.25 min; 48.58 m/s and 80 gm sieve. The selected filler and all three aggregate fractions were coated with stearic acid via dry procedure. The mortar mixes, prepared with uncoated (M1) and coated (M2) aggregate and filler, were cured for a period of 28 days during which compressive strength and water absorption were monitored. The dimensional changes in mortars were estimated via TMA dilatometer measurements. Thermo-analytical methods (DTA/TGA) were applied in the thermal behavior analysis. Mineralogical and morphological changes in the structure of hardened composite were detected by XRD and SEM, respectively. Limestone aggregate led to lower final compressive strengths in mortar, but it produced an infinitesimally small shrinkage at 1000 degrees C. The hydrophobization via stearic acid initiated the decrease in water absorption and formation of needle-like micro-network that filled structural voids reducing open porosity. The assessment of the effects of limestone utilization as a filler and as an aggregate on the mortar performances confirmed that this novel water-repellent composite is applicable in structural design.
PB  - Elsevier Sci Ltd, Oxford
T2  - Composites Part B-Engineering
T1  - The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites
EP  - 73
SP  - 61
VL  - 117
DO  - 10.1016/j.compositesb.2017.02.041
ER  - 

@article{
author = "Terzić, Anja and Radulović, Dragan and Pezo, Lato and Andrić, Ljubiša and Miličić, Ljiljana and Stojanović, Jovica and Grigorova, Irena",
year = "2017",
abstract = "The effect of the combined actions of milling and hydrophobization procedures applied in construction composites synthesis was investigated. The mortars were prepared with cement (CEM I 42.5) and calcite aggregate complying the standard 1:3 mix ratio. The limestone filler (10 wt%) was added to the mixture upon its mechano-chemical activation in an ultra-centrifugal mill. The activation variables (milling time, rotor velocity, sieve mesh size) were altered to achieve the optimal quality of the powder. The treatment was optimized via chemometric tools. The r(2) values (0.955-0.998) of second order polynomial models accurately predicted the output and the Standard score analysis chose the optimal activation parameters: 4.25 min; 48.58 m/s and 80 gm sieve. The selected filler and all three aggregate fractions were coated with stearic acid via dry procedure. The mortar mixes, prepared with uncoated (M1) and coated (M2) aggregate and filler, were cured for a period of 28 days during which compressive strength and water absorption were monitored. The dimensional changes in mortars were estimated via TMA dilatometer measurements. Thermo-analytical methods (DTA/TGA) were applied in the thermal behavior analysis. Mineralogical and morphological changes in the structure of hardened composite were detected by XRD and SEM, respectively. Limestone aggregate led to lower final compressive strengths in mortar, but it produced an infinitesimally small shrinkage at 1000 degrees C. The hydrophobization via stearic acid initiated the decrease in water absorption and formation of needle-like micro-network that filled structural voids reducing open porosity. The assessment of the effects of limestone utilization as a filler and as an aggregate on the mortar performances confirmed that this novel water-repellent composite is applicable in structural design.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Composites Part B-Engineering",
title = "The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites",
pages = "73-61",
volume = "117",
doi = "10.1016/j.compositesb.2017.02.041"
}

Terzić, A., Radulović, D., Pezo, L., Andrić, L., Miličić, L., Stojanović, J.,& Grigorova, I.. (2017). The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites. in Composites Part B-Engineering
Elsevier Sci Ltd, Oxford., 117, 61-73.
https://doi.org/10.1016/j.compositesb.2017.02.041

Terzić A, Radulović D, Pezo L, Andrić L, Miličić L, Stojanović J, Grigorova I. The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites. in Composites Part B-Engineering. 2017;117:61-73.
doi:10.1016/j.compositesb.2017.02.041 .

Terzić, Anja, Radulović, Dragan, Pezo, Lato, Andrić, Ljubiša, Miličić, Ljiljana, Stojanović, Jovica, Grigorova, Irena, "The effect of mechano-chemical activation and surface treatment of limestone filler on the properties of construction composites" in Composites Part B-Engineering, 117 (2017):61-73,
https://doi.org/10.1016/j.compositesb.2017.02.041 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Pavlović, Vladimir
AU  - Mitić, Vojislav
PY  - 2017
UR  - http://rims.institutims.rs/handle/123456789/307
AB  - The properties of seven montmorillonite-rich bentonites of different geological origin were investigated prior and subsequent to mechano-chemical processing in an ultra-centrifugal mill. The objective of the experiment was altering the bentonite types and activation parameters in order to determine the optimal milling conditions that produce material which is physico-mechanically and microstructurally applicable as a binder replacement and sorbent in the construction composites. The efficiency of bentonite activation was assessed by chemometrics and Artificial neural networks mathematical modeling. Principal component analysis and analysis of variance were used in the observation of the influence of input variables (bentonite chemical composition) and process parameters (milling duration, rotor velocity) on the product characteristics: density, specific surface area, grain size and distribution, cation exchange capacity, melting point, compressive strength, shrinkage and porosity. When the ANN models for the observed responses, related to predicted bentonite characteristics and quality, were compared to experimental results, they correctly predicted the responses. The processed data also adequately fitted to the regression second order polynomial models. The SOP models, which showed r(2) values from 0.357 to 0.948, and were able to predict the observed responses in a wide range of processing parameters, while ANN models performed high prediction accuracy (0.776-0.901) and can be considered as precise for response variables prediction. The combination of the conducted mathematical analyses showed that that increase/decrease in output values was stabilized after 30 min of activation. Mathematically attained interpretations were correlated with the results of the instrumental analyses (XRD, DTA/TG, SEM) to confirm the adoption of B6 bentonite as a preferable type and 30 min as an optimal milling time for acquiring quality of clay powder that will be used in structural and thermal applications.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling
EP  - 2562
IS  - 2
SP  - 2549
VL  - 43
DO  - 10.1016/j.ceramint.2016.11.058
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Andrić, Ljubiša and Pavlović, Vladimir and Mitić, Vojislav",
year = "2017",
abstract = "The properties of seven montmorillonite-rich bentonites of different geological origin were investigated prior and subsequent to mechano-chemical processing in an ultra-centrifugal mill. The objective of the experiment was altering the bentonite types and activation parameters in order to determine the optimal milling conditions that produce material which is physico-mechanically and microstructurally applicable as a binder replacement and sorbent in the construction composites. The efficiency of bentonite activation was assessed by chemometrics and Artificial neural networks mathematical modeling. Principal component analysis and analysis of variance were used in the observation of the influence of input variables (bentonite chemical composition) and process parameters (milling duration, rotor velocity) on the product characteristics: density, specific surface area, grain size and distribution, cation exchange capacity, melting point, compressive strength, shrinkage and porosity. When the ANN models for the observed responses, related to predicted bentonite characteristics and quality, were compared to experimental results, they correctly predicted the responses. The processed data also adequately fitted to the regression second order polynomial models. The SOP models, which showed r(2) values from 0.357 to 0.948, and were able to predict the observed responses in a wide range of processing parameters, while ANN models performed high prediction accuracy (0.776-0.901) and can be considered as precise for response variables prediction. The combination of the conducted mathematical analyses showed that that increase/decrease in output values was stabilized after 30 min of activation. Mathematically attained interpretations were correlated with the results of the instrumental analyses (XRD, DTA/TG, SEM) to confirm the adoption of B6 bentonite as a preferable type and 30 min as an optimal milling time for acquiring quality of clay powder that will be used in structural and thermal applications.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling",
pages = "2562-2549",
number = "2",
volume = "43",
doi = "10.1016/j.ceramint.2016.11.058"
}

Terzić, A., Pezo, L., Andrić, L., Pavlović, V.,& Mitić, V.. (2017). Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling. in Ceramics International
Elsevier Sci Ltd, Oxford., 43(2), 2549-2562.
https://doi.org/10.1016/j.ceramint.2016.11.058

Terzić A, Pezo L, Andrić L, Pavlović V, Mitić V. Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling. in Ceramics International. 2017;43(2):2549-2562.
doi:10.1016/j.ceramint.2016.11.058 .

Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, Pavlović, Vladimir, Mitić, Vojislav, "Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling" in Ceramics International, 43, no. 2 (2017):2549-2562,
https://doi.org/10.1016/j.ceramint.2016.11.058 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
PY  - 2017
UR  - http://rims.institutims.rs/handle/123456789/310
AB  - The coal fly ash mechano-chemical activation conducted via high energy ultra-centrifugal mill was optimized using mathematical and statistical tools. The aim of the investigation was to accent the merits of alternations in ash processing schemes with a referral regarding the enhancement of the ash reactivity that will lead to its higher volume utilization as a cement replacement in concrete design. The impact of the processing parameters sets (number of rotor revolutions, current intensity, activation period, circumferential rotor speed, mill capacity) on the on the product's quality factors (grain size distribution, average grain size, micronization level, agglomeration tendency, specific surface area) was assessed via Response surface method, Standard score analysis and Principal component analysis in order to obtain the most favorable output. Developed models were able to meticulously predict quality parameters in an extensive range of processing parameters. The calculated r(2) values were in the range of 0.846-0.999. The optimal ash sample, that reached the Standard Score as high as 0.93, was produced using a set of processing parameters appropriate to experimental sequence with applied 120 mu m sieve mesh. The microstructural characteristics were assessed using image-processing values and histogram plots of the activated fly ash SEM images.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - Chemometric Analysis of Alternations in Coal Ash Quality Induced by Application of Different Mechano-chemical Processing Parameters
EP  - 397
IS  - 4
SP  - 381
VL  - 49
DO  - 10.2298/SOS1704381T
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Andrić, Ljubiša",
year = "2017",
abstract = "The coal fly ash mechano-chemical activation conducted via high energy ultra-centrifugal mill was optimized using mathematical and statistical tools. The aim of the investigation was to accent the merits of alternations in ash processing schemes with a referral regarding the enhancement of the ash reactivity that will lead to its higher volume utilization as a cement replacement in concrete design. The impact of the processing parameters sets (number of rotor revolutions, current intensity, activation period, circumferential rotor speed, mill capacity) on the on the product's quality factors (grain size distribution, average grain size, micronization level, agglomeration tendency, specific surface area) was assessed via Response surface method, Standard score analysis and Principal component analysis in order to obtain the most favorable output. Developed models were able to meticulously predict quality parameters in an extensive range of processing parameters. The calculated r(2) values were in the range of 0.846-0.999. The optimal ash sample, that reached the Standard Score as high as 0.93, was produced using a set of processing parameters appropriate to experimental sequence with applied 120 mu m sieve mesh. The microstructural characteristics were assessed using image-processing values and histogram plots of the activated fly ash SEM images.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "Chemometric Analysis of Alternations in Coal Ash Quality Induced by Application of Different Mechano-chemical Processing Parameters",
pages = "397-381",
number = "4",
volume = "49",
doi = "10.2298/SOS1704381T"
}

Terzić, A., Pezo, L.,& Andrić, L.. (2017). Chemometric Analysis of Alternations in Coal Ash Quality Induced by Application of Different Mechano-chemical Processing Parameters. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 49(4), 381-397.
https://doi.org/10.2298/SOS1704381T

Terzić A, Pezo L, Andrić L. Chemometric Analysis of Alternations in Coal Ash Quality Induced by Application of Different Mechano-chemical Processing Parameters. in Science of Sintering. 2017;49(4):381-397.
doi:10.2298/SOS1704381T .

Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, "Chemometric Analysis of Alternations in Coal Ash Quality Induced by Application of Different Mechano-chemical Processing Parameters" in Science of Sintering, 49, no. 4 (2017):381-397,
https://doi.org/10.2298/SOS1704381T . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
PY  - 2017
UR  - http://rims.institutims.rs/handle/123456789/306
AB  - Natural zeolites of clinoptilolite type from seven deposits were submitted to mechano-chemical activation in a Retsch ultra -centrifugal mill. The zeolite types and activation parameters were altered during the experiment with an aim to determine the optimal combination that would produce powder with adequate physico-chemical and microstructural properties for application as a binder replacement and an ion -exchanger in the construction composites. The effects of input variables (chemical composition of the samples) and process parameters (the rotor velocity and the activation period) on the efficiency of zeolite activation were investigated in terms of dependent parameters such as: specific surface area, grain size distribution, cation exchange capacity, melting point, compression strength, shrinking, water absorption and apparent porosity. Cluster analysis, Principal component analysis and Standard score analysis were applied in the assessment of the acquired product quality. Artificial neural networks (ANN) were developed in mathematical modeling of observed responses. Subsequently the ANN was compared to experimental results and the developed second order polynomial models. Developed models showed r(2) values in the 0.822-0.998 range, meaning that they were able to predict the observed responses in a wide range of processing parameters. ANN models performed high prediction accuracy (0.975-0.993) and can be considered as precise and very useful for response variables prediction. The combination of the conducted mathematical analyses isolated Z5 zeolite as a preferable type, and 20000 rpm and 30 min as an optimal activation set of parameters. Mathematically derived conclusions were confirmed by results of instrumental analyses (XRD, DTA/TG, SEM).
PB  - Elsevier Sci Ltd, Oxford
T2  - Composites Part B-Engineering
T1  - Chemometric assessment of mechano-chemically activated zeolites for application in the construction composites
EP  - 44
SP  - 30
VL  - 109
DO  - 10.1016/j.compositesb.2016.10.040
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Andrić, Ljubiša",
year = "2017",
abstract = "Natural zeolites of clinoptilolite type from seven deposits were submitted to mechano-chemical activation in a Retsch ultra -centrifugal mill. The zeolite types and activation parameters were altered during the experiment with an aim to determine the optimal combination that would produce powder with adequate physico-chemical and microstructural properties for application as a binder replacement and an ion -exchanger in the construction composites. The effects of input variables (chemical composition of the samples) and process parameters (the rotor velocity and the activation period) on the efficiency of zeolite activation were investigated in terms of dependent parameters such as: specific surface area, grain size distribution, cation exchange capacity, melting point, compression strength, shrinking, water absorption and apparent porosity. Cluster analysis, Principal component analysis and Standard score analysis were applied in the assessment of the acquired product quality. Artificial neural networks (ANN) were developed in mathematical modeling of observed responses. Subsequently the ANN was compared to experimental results and the developed second order polynomial models. Developed models showed r(2) values in the 0.822-0.998 range, meaning that they were able to predict the observed responses in a wide range of processing parameters. ANN models performed high prediction accuracy (0.975-0.993) and can be considered as precise and very useful for response variables prediction. The combination of the conducted mathematical analyses isolated Z5 zeolite as a preferable type, and 20000 rpm and 30 min as an optimal activation set of parameters. Mathematically derived conclusions were confirmed by results of instrumental analyses (XRD, DTA/TG, SEM).",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Composites Part B-Engineering",
title = "Chemometric assessment of mechano-chemically activated zeolites for application in the construction composites",
pages = "44-30",
volume = "109",
doi = "10.1016/j.compositesb.2016.10.040"
}

Terzić, A., Pezo, L.,& Andrić, L.. (2017). Chemometric assessment of mechano-chemically activated zeolites for application in the construction composites. in Composites Part B-Engineering
Elsevier Sci Ltd, Oxford., 109, 30-44.
https://doi.org/10.1016/j.compositesb.2016.10.040

Terzić A, Pezo L, Andrić L. Chemometric assessment of mechano-chemically activated zeolites for application in the construction composites. in Composites Part B-Engineering. 2017;109:30-44.
doi:10.1016/j.compositesb.2016.10.040 .

Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, "Chemometric assessment of mechano-chemically activated zeolites for application in the construction composites" in Composites Part B-Engineering, 109 (2017):30-44,
https://doi.org/10.1016/j.compositesb.2016.10.040 . .

TY  - JOUR
AU  - Radulović, Dragan
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Grigorova, Irena
PY  - 2017
UR  - http://rims.institutims.rs/handle/123456789/309
AB  - The limestone, as an economically sustainable and easily available basic raw material, is frequently utilized in the building industry for resolving of the environmental protection issues. The limestone is incorporated in a cementitious system either by grinding with cement clinker, or by blending with the binder during concrete production. The employing of powdery limestone as partial cement replacement gives the construction composites with properties comparable to that of conventional concrete. The study of limestone thermal behavior and its chemistry is crucial for the prognosis of the designed composites properties. In this work, the instrumental techniques (atomic emission spectroscopy, differential thermal and thermo-gravimetric analysis, Fourier transform infrared spectroscopy) and the Principal component analysis were employed to discriminate and classify 22 limestone types. The PCA statistical method, as a means of spectra and experimental data fingerprinting, grouped the samples in a multi-dimensional factor space producing four graphical prognosis - one for each instrumental method. DTA/TG peak values varied the most in a short range between 830-870 degrees C, while FTIR spectra showed the highest diversity in the 867-887 cm(-1) and 1237-1647 cm(-1) ranges. This research was governed by an idea to reveal whether it is possible to differentiate various limestone types and to predict the possibility of their employment in construction composites on the basis of the results of instrumental and mathematical analyses.
PB  - Međunarodni Institut za nauku o sinterovanju, Beograd
T2  - Science of Sintering
T1  - The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites
EP  - 261
IS  - 3
SP  - 247
VL  - 49
DO  - 10.2298/SOS1703247R
ER  - 

@article{
author = "Radulović, Dragan and Terzić, Anja and Pezo, Lato and Andrić, Ljubiša and Grigorova, Irena",
year = "2017",
abstract = "The limestone, as an economically sustainable and easily available basic raw material, is frequently utilized in the building industry for resolving of the environmental protection issues. The limestone is incorporated in a cementitious system either by grinding with cement clinker, or by blending with the binder during concrete production. The employing of powdery limestone as partial cement replacement gives the construction composites with properties comparable to that of conventional concrete. The study of limestone thermal behavior and its chemistry is crucial for the prognosis of the designed composites properties. In this work, the instrumental techniques (atomic emission spectroscopy, differential thermal and thermo-gravimetric analysis, Fourier transform infrared spectroscopy) and the Principal component analysis were employed to discriminate and classify 22 limestone types. The PCA statistical method, as a means of spectra and experimental data fingerprinting, grouped the samples in a multi-dimensional factor space producing four graphical prognosis - one for each instrumental method. DTA/TG peak values varied the most in a short range between 830-870 degrees C, while FTIR spectra showed the highest diversity in the 867-887 cm(-1) and 1237-1647 cm(-1) ranges. This research was governed by an idea to reveal whether it is possible to differentiate various limestone types and to predict the possibility of their employment in construction composites on the basis of the results of instrumental and mathematical analyses.",
publisher = "Međunarodni Institut za nauku o sinterovanju, Beograd",
journal = "Science of Sintering",
title = "The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites",
pages = "261-247",
number = "3",
volume = "49",
doi = "10.2298/SOS1703247R"
}

Radulović, D., Terzić, A., Pezo, L., Andrić, L.,& Grigorova, I.. (2017). The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites. in Science of Sintering
Međunarodni Institut za nauku o sinterovanju, Beograd., 49(3), 247-261.
https://doi.org/10.2298/SOS1703247R

Radulović D, Terzić A, Pezo L, Andrić L, Grigorova I. The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites. in Science of Sintering. 2017;49(3):247-261.
doi:10.2298/SOS1703247R .

Radulović, Dragan, Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, Grigorova, Irena, "The Chemometric Study of Limestone Physico-chemical Properties and Thermal Behavior for Application in Construction Composites" in Science of Sintering, 49, no. 3 (2017):247-261,
https://doi.org/10.2298/SOS1703247R . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Radojević, Zagorka
AU  - Jakšić, Željko
AU  - Pezo, Lato
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/286
AB  - The objective of this study was to investigate utilization potential of organic and inorganic industrial wastes in clay bricks. Mineral composition of starting heavy clay sample is tested using an X-ray diffractometer. Chemical content and loss on ignition were determined in sludges, coal dust, fly and landfill ashes, soybean crust, sawdust, sunflower hulls and their ash. Different ratios of wastes were added to heavy clay, while the applied firing temperatures were in the range 850-1000 degrees C. The laboratory samples (tiles, solid bricks and hollow blocks) were tested by using the standard test methods. Changes in product's quality were studied in terms of relative differences to ceramic-technological parameters compared to samples without waste materials addition. It is noticed that all of the additives increased weight loss, firing shrinkage and water absorption, while decreasing compressive strength and volume mass. The greatest changes in performances were observed with addition of organic materials, whereas, among them, sunflower hulls initiated the lowest compressive strength. Inorganic additives introduced fewer changes to fired products, while fly ash caused the lowest decrease in compressive strength. Response Surface Methodology (RSM) was applied and Second Order Polynomial models (SOP) were used to show the effects of firing temperature, waste materials addition and their quantity on characteristics of fired products. High prediction accuracy was obtained, with coefficient of determination in the range of 0.896-0.999. It was concluded that all of the analyzed materials can generally be used in building bricks by taking advantage of low cost and environmental protection, whereby thermal conductivity decreases.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Mathematical approach to application of industrial wastes in clay brick production - Part I: Testing and analysis
EP  - 4898
IS  - 3
SP  - 4890
VL  - 41
DO  - 10.1016/j.ceramint.2014.12.051
ER  - 

@article{
author = "Arsenović, Milica and Radojević, Zagorka and Jakšić, Željko and Pezo, Lato",
year = "2015",
abstract = "The objective of this study was to investigate utilization potential of organic and inorganic industrial wastes in clay bricks. Mineral composition of starting heavy clay sample is tested using an X-ray diffractometer. Chemical content and loss on ignition were determined in sludges, coal dust, fly and landfill ashes, soybean crust, sawdust, sunflower hulls and their ash. Different ratios of wastes were added to heavy clay, while the applied firing temperatures were in the range 850-1000 degrees C. The laboratory samples (tiles, solid bricks and hollow blocks) were tested by using the standard test methods. Changes in product's quality were studied in terms of relative differences to ceramic-technological parameters compared to samples without waste materials addition. It is noticed that all of the additives increased weight loss, firing shrinkage and water absorption, while decreasing compressive strength and volume mass. The greatest changes in performances were observed with addition of organic materials, whereas, among them, sunflower hulls initiated the lowest compressive strength. Inorganic additives introduced fewer changes to fired products, while fly ash caused the lowest decrease in compressive strength. Response Surface Methodology (RSM) was applied and Second Order Polynomial models (SOP) were used to show the effects of firing temperature, waste materials addition and their quantity on characteristics of fired products. High prediction accuracy was obtained, with coefficient of determination in the range of 0.896-0.999. It was concluded that all of the analyzed materials can generally be used in building bricks by taking advantage of low cost and environmental protection, whereby thermal conductivity decreases.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Mathematical approach to application of industrial wastes in clay brick production - Part I: Testing and analysis",
pages = "4898-4890",
number = "3",
volume = "41",
doi = "10.1016/j.ceramint.2014.12.051"
}

Arsenović, M., Radojević, Z., Jakšić, Ž.,& Pezo, L.. (2015). Mathematical approach to application of industrial wastes in clay brick production - Part I: Testing and analysis. in Ceramics International
Elsevier Sci Ltd, Oxford., 41(3), 4890-4898.
https://doi.org/10.1016/j.ceramint.2014.12.051

Arsenović M, Radojević Z, Jakšić Ž, Pezo L. Mathematical approach to application of industrial wastes in clay brick production - Part I: Testing and analysis. in Ceramics International. 2015;41(3):4890-4898.
doi:10.1016/j.ceramint.2014.12.051 .

Arsenović, Milica, Radojević, Zagorka, Jakšić, Željko, Pezo, Lato, "Mathematical approach to application of industrial wastes in clay brick production - Part I: Testing and analysis" in Ceramics International, 41, no. 3 (2015):4890-4898,
https://doi.org/10.1016/j.ceramint.2014.12.051 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Radojević, Zagorka
AU  - Jakšić, Željko
AU  - Pezo, Lato
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/275
AB  - The effects of organic and inorganic waste sludges, coal dust, fly and landfill ashes, soybean crust, sawdust, sunflower flakes and their ash addition to representative heavy clay were investigated. Changes introduced to shaping moist (SM), shrinkage (Delta Sk) and weight loss (Delta Gk) in Bigot's curve critical point, and plasticity coefficient (PC) by Pfefferkorn were studied. The highest sensitivity to drying showed samples with coal dust addition, while the greatest plasticity and shaping moist was detected in samples with 50 wt% of fly and landfill ashes. The influence of waste material used, its' content and also firing temperature were independent parameters that influenced compressive strength, water absorption, firing shrinkage, weight loss during firing and volume mass as dependent parameters. Second order polynomial mathematical models predicted fired products characteristics, and Were later used to determine the optimum conditions by Response Surface Method (RSM), coupled with Fuzzy Synthetic Evaluation algorithm (FSE), using trapezoidal function. The choice of the parameters optimal interval that characterized fired products (water absorption, compressive strength, weight loss during firing, firing shrinkage and volume mass), depended on a final usage of the raw material in heavy clay brick industry. The optimization results showed that sunflower hulls, wood sawdust, soybean husks and saturation sludge are best to be used in solid bricks production. Coal dust, landfill ashes and neutralization (inorganic) sludges are best to be used in hollow bricks production. Sunflower hulls ash can be added in higher quantity to heavy clay to produce blocks or in lower quantity in roof tiles. Fly ashes addition of 50 wt% allows roof tiles production. The optimal temperature for solid bricks and hollow blocks production is found to be 900-950 degrees C.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Mathematical approach to application of industrial wastes in clay brick production-Part II: Optimization
EP  - 4905
IS  - 3
SP  - 4899
VL  - 41
DO  - 10.1016/j.ceramint.2014.12.050
ER  - 

@article{
author = "Arsenović, Milica and Radojević, Zagorka and Jakšić, Željko and Pezo, Lato",
year = "2015",
abstract = "The effects of organic and inorganic waste sludges, coal dust, fly and landfill ashes, soybean crust, sawdust, sunflower flakes and their ash addition to representative heavy clay were investigated. Changes introduced to shaping moist (SM), shrinkage (Delta Sk) and weight loss (Delta Gk) in Bigot's curve critical point, and plasticity coefficient (PC) by Pfefferkorn were studied. The highest sensitivity to drying showed samples with coal dust addition, while the greatest plasticity and shaping moist was detected in samples with 50 wt% of fly and landfill ashes. The influence of waste material used, its' content and also firing temperature were independent parameters that influenced compressive strength, water absorption, firing shrinkage, weight loss during firing and volume mass as dependent parameters. Second order polynomial mathematical models predicted fired products characteristics, and Were later used to determine the optimum conditions by Response Surface Method (RSM), coupled with Fuzzy Synthetic Evaluation algorithm (FSE), using trapezoidal function. The choice of the parameters optimal interval that characterized fired products (water absorption, compressive strength, weight loss during firing, firing shrinkage and volume mass), depended on a final usage of the raw material in heavy clay brick industry. The optimization results showed that sunflower hulls, wood sawdust, soybean husks and saturation sludge are best to be used in solid bricks production. Coal dust, landfill ashes and neutralization (inorganic) sludges are best to be used in hollow bricks production. Sunflower hulls ash can be added in higher quantity to heavy clay to produce blocks or in lower quantity in roof tiles. Fly ashes addition of 50 wt% allows roof tiles production. The optimal temperature for solid bricks and hollow blocks production is found to be 900-950 degrees C.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Mathematical approach to application of industrial wastes in clay brick production-Part II: Optimization",
pages = "4905-4899",
number = "3",
volume = "41",
doi = "10.1016/j.ceramint.2014.12.050"
}

Arsenović, M., Radojević, Z., Jakšić, Ž.,& Pezo, L.. (2015). Mathematical approach to application of industrial wastes in clay brick production-Part II: Optimization. in Ceramics International
Elsevier Sci Ltd, Oxford., 41(3), 4899-4905.
https://doi.org/10.1016/j.ceramint.2014.12.050

Arsenović M, Radojević Z, Jakšić Ž, Pezo L. Mathematical approach to application of industrial wastes in clay brick production-Part II: Optimization. in Ceramics International. 2015;41(3):4899-4905.
doi:10.1016/j.ceramint.2014.12.050 .

Arsenović, Milica, Radojević, Zagorka, Jakšić, Željko, Pezo, Lato, "Mathematical approach to application of industrial wastes in clay brick production-Part II: Optimization" in Ceramics International, 41, no. 3 (2015):4899-4905,
https://doi.org/10.1016/j.ceramint.2014.12.050 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Pezo, Lato
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/273
AB  - Chemical composition and XRD qualitative analysis were used to calculate mineral contents of 139 brick clay raw materials using LPNORM. The second order polynomial models (SOP) for all the samples, which express the relation between mineral contents and the characteristics of fired laboratory products, did not fit to experimental data satisfactorily, due to low coefficients of determination (r(2)). In order to improve the models, the samples are divided into four groups in factor space (four quadrants), according to their mineral content similarity, using principal component analysis (PCA). Predictive models of compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and volume mass of cubes (VMC) are obtained for each of the groups. Second order polynomial (SOP) models are developed, and the influence of certain minerals to brick clay bricks quality within the groups is discussed. Developed models were able to predict the final quality of products in a wide range of mineral content and temperature treatment data, showing coefficient of determination (r(2)) in range between 0.704-0.995. In order to estimate the adequacy of these models, the results were applied to the experimental data and compared according to additional statistical tests, so the next values are determined: coefficients of determination, reduced chi-square (chi(2)), mean bias error (MBE), mean percent error (MPE) and root mean square error (RMSE).
PB  - Elsevier Science Bv, Amsterdam
T2  - Applied Clay Science
T1  - Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality
EP  - 114
SP  - 108
VL  - 115
DO  - 10.1016/j.clay.2015.07.030
ER  - 

@article{
author = "Arsenović, Milica and Pezo, Lato and Stanković, Slavka and Radojević, Zagorka",
year = "2015",
abstract = "Chemical composition and XRD qualitative analysis were used to calculate mineral contents of 139 brick clay raw materials using LPNORM. The second order polynomial models (SOP) for all the samples, which express the relation between mineral contents and the characteristics of fired laboratory products, did not fit to experimental data satisfactorily, due to low coefficients of determination (r(2)). In order to improve the models, the samples are divided into four groups in factor space (four quadrants), according to their mineral content similarity, using principal component analysis (PCA). Predictive models of compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and volume mass of cubes (VMC) are obtained for each of the groups. Second order polynomial (SOP) models are developed, and the influence of certain minerals to brick clay bricks quality within the groups is discussed. Developed models were able to predict the final quality of products in a wide range of mineral content and temperature treatment data, showing coefficient of determination (r(2)) in range between 0.704-0.995. In order to estimate the adequacy of these models, the results were applied to the experimental data and compared according to additional statistical tests, so the next values are determined: coefficients of determination, reduced chi-square (chi(2)), mean bias error (MBE), mean percent error (MPE) and root mean square error (RMSE).",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Applied Clay Science",
title = "Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality",
pages = "114-108",
volume = "115",
doi = "10.1016/j.clay.2015.07.030"
}

Arsenović, M., Pezo, L., Stanković, S.,& Radojević, Z.. (2015). Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality. in Applied Clay Science
Elsevier Science Bv, Amsterdam., 115, 108-114.
https://doi.org/10.1016/j.clay.2015.07.030

Arsenović M, Pezo L, Stanković S, Radojević Z. Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality. in Applied Clay Science. 2015;115:108-114.
doi:10.1016/j.clay.2015.07.030 .

Arsenović, Milica, Pezo, Lato, Stanković, Slavka, Radojević, Zagorka, "Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality" in Applied Clay Science, 115 (2015):108-114,
https://doi.org/10.1016/j.clay.2015.07.030 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Arsenović, Milica
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/270
AB  - Talc is broadly used in the ceramic materials industry, either as a basic raw material, or as filler, due to its chemical inertia, fragmentation proneness, thermal stability, and refractoriness. The mechanical activation is frequently employed in the direct enhancement of talc properties, and thereby in the design of talc based composites with advanced performances. The differences in the set of the process parameters measured before and after talc activation via ultra-centrifugal mill Retsch ZM-1, and their influence on the grain-size distribution related characteristics have been investigated. The mechanical treatments are energetically unsustainable procedures, therefore the talc activation was optimized on basis of assessment of the process variables (number of rotor revolutions, current intensity, activation period, circumferential rotor speed and mill capacity) effect on the final quality of product parameters (mesh sizes, cumulative oversizes, average grain size, level of micronization kinetics, mesh size appropriate to 95% micronized product cumulative undersize and specific surface area). The activated product parameters in all experimental sequences were obtained by the analytical procedure based on Rosin-Rammler-Sperling equation. Response surface method, standard score analysis and principal component analysis were used as a means of the optimization. Developed models showed r(2) values in the range of 0.714-0.908 and they were able to accurately predict quality parameters in a wide range of process parameters. Standard score analysis highlighted that the optimal sample was obtained using sieve mesh of 120 mu m set of processing parameters (SS = 1.0). Multiple comparison tests revealed that the optimal variation in the processing parameters could reduce the negative effect of talc samples inherent properties on the final score and improve the activation procedure energetic and economic sustainability.
PB  - Elsevier Sci Ltd, Oxford
T2  - Composites Part B-Engineering
T1  - Effects of mechanical activation on the parameters of talc quality for ceramics production - Chemometric approach
EP  - 666
SP  - 660
VL  - 79
DO  - 10.1016/j.compositesb.2015.05.022
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Andrić, Ljubiša and Arsenović, Milica",
year = "2015",
abstract = "Talc is broadly used in the ceramic materials industry, either as a basic raw material, or as filler, due to its chemical inertia, fragmentation proneness, thermal stability, and refractoriness. The mechanical activation is frequently employed in the direct enhancement of talc properties, and thereby in the design of talc based composites with advanced performances. The differences in the set of the process parameters measured before and after talc activation via ultra-centrifugal mill Retsch ZM-1, and their influence on the grain-size distribution related characteristics have been investigated. The mechanical treatments are energetically unsustainable procedures, therefore the talc activation was optimized on basis of assessment of the process variables (number of rotor revolutions, current intensity, activation period, circumferential rotor speed and mill capacity) effect on the final quality of product parameters (mesh sizes, cumulative oversizes, average grain size, level of micronization kinetics, mesh size appropriate to 95% micronized product cumulative undersize and specific surface area). The activated product parameters in all experimental sequences were obtained by the analytical procedure based on Rosin-Rammler-Sperling equation. Response surface method, standard score analysis and principal component analysis were used as a means of the optimization. Developed models showed r(2) values in the range of 0.714-0.908 and they were able to accurately predict quality parameters in a wide range of process parameters. Standard score analysis highlighted that the optimal sample was obtained using sieve mesh of 120 mu m set of processing parameters (SS = 1.0). Multiple comparison tests revealed that the optimal variation in the processing parameters could reduce the negative effect of talc samples inherent properties on the final score and improve the activation procedure energetic and economic sustainability.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Composites Part B-Engineering",
title = "Effects of mechanical activation on the parameters of talc quality for ceramics production - Chemometric approach",
pages = "666-660",
volume = "79",
doi = "10.1016/j.compositesb.2015.05.022"
}

Terzić, A., Pezo, L., Andrić, L.,& Arsenović, M.. (2015). Effects of mechanical activation on the parameters of talc quality for ceramics production - Chemometric approach. in Composites Part B-Engineering
Elsevier Sci Ltd, Oxford., 79, 660-666.
https://doi.org/10.1016/j.compositesb.2015.05.022

Terzić A, Pezo L, Andrić L, Arsenović M. Effects of mechanical activation on the parameters of talc quality for ceramics production - Chemometric approach. in Composites Part B-Engineering. 2015;79:660-666.
doi:10.1016/j.compositesb.2015.05.022 .

Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, Arsenović, Milica, "Effects of mechanical activation on the parameters of talc quality for ceramics production - Chemometric approach" in Composites Part B-Engineering, 79 (2015):660-666,
https://doi.org/10.1016/j.compositesb.2015.05.022 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Mitić, Vojislav
AU  - Radojević, Zagorka
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/267
AB  - The effect of the application of pelletized fly ash based aggregates obtained through different processing techniques on the behavior of lightweight concretes was analyzed. Experimental program implied production of four lightweight artificial aggregates-cold bonded and sintered pellets based on either mechanically activated or non-activated low-calcium fly ash and water glass. The lightweight concrete behavior was compared to that of normal-weight concrete through compressive strength, flexural strength, porosity, shrinkage, and modulus of elasticity investigation. Differences in concretes characteristics were discussed with SEM imagining support. The statistical analysis of lightweight aggregate and ash properties contribution on concrete performances was realized by analysis variance model (ANOVA). Optimal production combination that maximizes lightweight concrete performance was determined by employing response surface methodology. An increase in concrete strength induced by the increase in ash fineness was noticed. Mechanical activation also had effect on the pellets sintering period and sintering temperature reduction. The 28- and 56-day lightweight concrete specimens exhibited properties that met the requirements for normal-weight concretes. Finally, the ideal combinations of ash pellets production parameters and properties that gave the lightweight concrete with behavior matching to that of standard concrete were established. The production capability of lightweight concrete with advanced performances based on artificial aggregate approves the principle of waste material reusing and enables cleaner and economically sustainable concrete manufacturing procedure.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Artificial fly ash based aggregates properties influence on lightweight concrete performances
EP  - 2726
IS  - 2
SP  - 2714
VL  - 41
DO  - 10.1016/j.ceramint.2014.10.086
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Mitić, Vojislav and Radojević, Zagorka",
year = "2015",
abstract = "The effect of the application of pelletized fly ash based aggregates obtained through different processing techniques on the behavior of lightweight concretes was analyzed. Experimental program implied production of four lightweight artificial aggregates-cold bonded and sintered pellets based on either mechanically activated or non-activated low-calcium fly ash and water glass. The lightweight concrete behavior was compared to that of normal-weight concrete through compressive strength, flexural strength, porosity, shrinkage, and modulus of elasticity investigation. Differences in concretes characteristics were discussed with SEM imagining support. The statistical analysis of lightweight aggregate and ash properties contribution on concrete performances was realized by analysis variance model (ANOVA). Optimal production combination that maximizes lightweight concrete performance was determined by employing response surface methodology. An increase in concrete strength induced by the increase in ash fineness was noticed. Mechanical activation also had effect on the pellets sintering period and sintering temperature reduction. The 28- and 56-day lightweight concrete specimens exhibited properties that met the requirements for normal-weight concretes. Finally, the ideal combinations of ash pellets production parameters and properties that gave the lightweight concrete with behavior matching to that of standard concrete were established. The production capability of lightweight concrete with advanced performances based on artificial aggregate approves the principle of waste material reusing and enables cleaner and economically sustainable concrete manufacturing procedure.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Artificial fly ash based aggregates properties influence on lightweight concrete performances",
pages = "2726-2714",
number = "2",
volume = "41",
doi = "10.1016/j.ceramint.2014.10.086"
}

Terzić, A., Pezo, L., Mitić, V.,& Radojević, Z.. (2015). Artificial fly ash based aggregates properties influence on lightweight concrete performances. in Ceramics International
Elsevier Sci Ltd, Oxford., 41(2), 2714-2726.
https://doi.org/10.1016/j.ceramint.2014.10.086

Terzić A, Pezo L, Mitić V, Radojević Z. Artificial fly ash based aggregates properties influence on lightweight concrete performances. in Ceramics International. 2015;41(2):2714-2726.
doi:10.1016/j.ceramint.2014.10.086 .

Terzić, Anja, Pezo, Lato, Mitić, Vojislav, Radojević, Zagorka, "Artificial fly ash based aggregates properties influence on lightweight concrete performances" in Ceramics International, 41, no. 2 (2015):2714-2726,
https://doi.org/10.1016/j.ceramint.2014.10.086 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/274
AB  - The differences in the set of the process parameters measured before and after mica mechanical activation and their influence on the grain size distribution related characteristics have been studied. The modification of the behavior for activated samples has been correlated to the particle size distribution effect produced by activation via an ultra centrifugal mill. The mechanical treatments are energetically and economically unsustainable procedures, therefore the mica activation was optimized on basis of assessment of the process variables effect on the final quality of product parameters. Response surface method, standard score analysis and principal component analysis were used as means of the optimization. Developed models showed r(2) values in the range of 0.816-0.988 and they were able to accurately, predict quality parameters in a wide range of processing parameters. Standard score analysis highlighted that the optimal sample was obtained using sieve mesh of 80 mu m set of processing parameters (SS=0.81). Multiple comparison tests revealed that the optimal variation in the processing parameters could reduce the negative effect of mica samples inherent properties on the final score and improve activation procedure energetic and economic sustainability.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Chemometric analysis of the influence of mechanical activation on the mica quality parameters
EP  - 8903
IS  - 7
SP  - 8894
VL  - 41
DO  - 10.1016/j.ceramint.2015.03.147
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Andrić, Ljubiša",
year = "2015",
abstract = "The differences in the set of the process parameters measured before and after mica mechanical activation and their influence on the grain size distribution related characteristics have been studied. The modification of the behavior for activated samples has been correlated to the particle size distribution effect produced by activation via an ultra centrifugal mill. The mechanical treatments are energetically and economically unsustainable procedures, therefore the mica activation was optimized on basis of assessment of the process variables effect on the final quality of product parameters. Response surface method, standard score analysis and principal component analysis were used as means of the optimization. Developed models showed r(2) values in the range of 0.816-0.988 and they were able to accurately, predict quality parameters in a wide range of processing parameters. Standard score analysis highlighted that the optimal sample was obtained using sieve mesh of 80 mu m set of processing parameters (SS=0.81). Multiple comparison tests revealed that the optimal variation in the processing parameters could reduce the negative effect of mica samples inherent properties on the final score and improve activation procedure energetic and economic sustainability.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Chemometric analysis of the influence of mechanical activation on the mica quality parameters",
pages = "8903-8894",
number = "7",
volume = "41",
doi = "10.1016/j.ceramint.2015.03.147"
}

Terzić, A., Pezo, L.,& Andrić, L.. (2015). Chemometric analysis of the influence of mechanical activation on the mica quality parameters. in Ceramics International
Elsevier Sci Ltd, Oxford., 41(7), 8894-8903.
https://doi.org/10.1016/j.ceramint.2015.03.147

Terzić A, Pezo L, Andrić L. Chemometric analysis of the influence of mechanical activation on the mica quality parameters. in Ceramics International. 2015;41(7):8894-8903.
doi:10.1016/j.ceramint.2015.03.147 .

Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, "Chemometric analysis of the influence of mechanical activation on the mica quality parameters" in Ceramics International, 41, no. 7 (2015):8894-8903,
https://doi.org/10.1016/j.ceramint.2015.03.147 . .

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Mitić, Vojislav
PY  - 2015
UR  - http://rims.institutims.rs/handle/123456789/271
AB  - The impact of the mechanical processing parameters on the alumina grain-size distribution affiliated characteristics and on the gamma to alpha phase transformation rate was investigated. The moderation in the alumina samples behavior has been correlated to the granulometric and mineralogical changes induced by activation via an ultra-centrifugal mill. The assessment of the activation process variables influence on the final quality of the product parameters was conveyed in order to optimize the mechanical treatment of the alumina, which otherwise could be regarded as either energetically or economically unsustainable procedure. The Response Surface Method, Standard Score Analysis and Principal Component Analysis were applied as means of the mechanical activation optimization. The r(2) values obtained by developed models were in range from 0.816 to 0.988. The established mathematical models were able to precisely predict the quality parameters in a broad range of processing parameters. The Standard Score Analysis emphasized that the optimal output sample was obtained using a sieve mesh of 120 mu m set of processing parameters (SS=0.96). Diverse comparison analyses disclosed that the optimal set of activation process parameters could reduce the negative effect of gamma-alumina samples immanent properties on the final score, and furthermore to enhance the rate of gamma to alpha transition which would improve energetic and economic sustainability of the alumina phase transformation procedure.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Analytical modeling of activation procedure applied in alpha-alumina thermo-mechanical synthesis
EP  - 11917
IS  - 9
SP  - 11908
VL  - 41
DO  - 10.1016/j.ceramint.2015.05.158
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Andrić, Ljubiša and Mitić, Vojislav",
year = "2015",
abstract = "The impact of the mechanical processing parameters on the alumina grain-size distribution affiliated characteristics and on the gamma to alpha phase transformation rate was investigated. The moderation in the alumina samples behavior has been correlated to the granulometric and mineralogical changes induced by activation via an ultra-centrifugal mill. The assessment of the activation process variables influence on the final quality of the product parameters was conveyed in order to optimize the mechanical treatment of the alumina, which otherwise could be regarded as either energetically or economically unsustainable procedure. The Response Surface Method, Standard Score Analysis and Principal Component Analysis were applied as means of the mechanical activation optimization. The r(2) values obtained by developed models were in range from 0.816 to 0.988. The established mathematical models were able to precisely predict the quality parameters in a broad range of processing parameters. The Standard Score Analysis emphasized that the optimal output sample was obtained using a sieve mesh of 120 mu m set of processing parameters (SS=0.96). Diverse comparison analyses disclosed that the optimal set of activation process parameters could reduce the negative effect of gamma-alumina samples immanent properties on the final score, and furthermore to enhance the rate of gamma to alpha transition which would improve energetic and economic sustainability of the alumina phase transformation procedure.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Analytical modeling of activation procedure applied in alpha-alumina thermo-mechanical synthesis",
pages = "11917-11908",
number = "9",
volume = "41",
doi = "10.1016/j.ceramint.2015.05.158"
}

Terzić, A., Pezo, L., Andrić, L.,& Mitić, V.. (2015). Analytical modeling of activation procedure applied in alpha-alumina thermo-mechanical synthesis. in Ceramics International
Elsevier Sci Ltd, Oxford., 41(9), 11908-11917.
https://doi.org/10.1016/j.ceramint.2015.05.158

Terzić A, Pezo L, Andrić L, Mitić V. Analytical modeling of activation procedure applied in alpha-alumina thermo-mechanical synthesis. in Ceramics International. 2015;41(9):11908-11917.
doi:10.1016/j.ceramint.2015.05.158 .

Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, Mitić, Vojislav, "Analytical modeling of activation procedure applied in alpha-alumina thermo-mechanical synthesis" in Ceramics International, 41, no. 9 (2015):11908-11917,
https://doi.org/10.1016/j.ceramint.2015.05.158 . .

TY  - JOUR
AU  - Pezo, Lato
AU  - Arsenović, Milica
AU  - Radojević, Zagorka
PY  - 2014
UR  - http://rims.institutims.rs/handle/123456789/241
AB  - Mineralogical composition of heavy clays is one of the most important properties when stadying raw materials in brick industry. Within this study, quantitative determination of minerals using LPNORM calculation was performed, using the first algorithm among the so-called norms that allows the introduction of a list of minerals and their configuration. This algorithm is implemented for the first time in practice, in order to calculate the minerals content in brick raw materials. The influence of minerals quantity, along with the firing temperature (800-1100 degrees C), and several shape formats of laboratory brick samples were investigated, and the acquired data were used to build Artificial Neural Network (ANN) model. ANN model was developed in order to predict the final products parameters, and its results have been afterwards compared to experimental data. ANN model, coupled with sensitivity analysis, was obtained with high prediction accuracy, according to coefficient of determination, r(2): 0.880-0.884 in compressive strength calculation, 0.954-0.960 for water absorption, 0.869 for firing shrinkage, 0.979-0.984 for water loss during firing and 0.907 for volume mass of cubes model.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - ANN model of brick properties using LPNORM calculation of minerals content
EP  - 9645
IS  - 7
SP  - 9637
VL  - 40
DO  - 10.1016/j.ceramint.2014.02.044
ER  - 

@article{
author = "Pezo, Lato and Arsenović, Milica and Radojević, Zagorka",
year = "2014",
abstract = "Mineralogical composition of heavy clays is one of the most important properties when stadying raw materials in brick industry. Within this study, quantitative determination of minerals using LPNORM calculation was performed, using the first algorithm among the so-called norms that allows the introduction of a list of minerals and their configuration. This algorithm is implemented for the first time in practice, in order to calculate the minerals content in brick raw materials. The influence of minerals quantity, along with the firing temperature (800-1100 degrees C), and several shape formats of laboratory brick samples were investigated, and the acquired data were used to build Artificial Neural Network (ANN) model. ANN model was developed in order to predict the final products parameters, and its results have been afterwards compared to experimental data. ANN model, coupled with sensitivity analysis, was obtained with high prediction accuracy, according to coefficient of determination, r(2): 0.880-0.884 in compressive strength calculation, 0.954-0.960 for water absorption, 0.869 for firing shrinkage, 0.979-0.984 for water loss during firing and 0.907 for volume mass of cubes model.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "ANN model of brick properties using LPNORM calculation of minerals content",
pages = "9645-9637",
number = "7",
volume = "40",
doi = "10.1016/j.ceramint.2014.02.044"
}

Pezo, L., Arsenović, M.,& Radojević, Z.. (2014). ANN model of brick properties using LPNORM calculation of minerals content. in Ceramics International
Elsevier Sci Ltd, Oxford., 40(7), 9637-9645.
https://doi.org/10.1016/j.ceramint.2014.02.044

Pezo L, Arsenović M, Radojević Z. ANN model of brick properties using LPNORM calculation of minerals content. in Ceramics International. 2014;40(7):9637-9645.
doi:10.1016/j.ceramint.2014.02.044 .

Pezo, Lato, Arsenović, Milica, Radojević, Zagorka, "ANN model of brick properties using LPNORM calculation of minerals content" in Ceramics International, 40, no. 7 (2014):9637-9645,
https://doi.org/10.1016/j.ceramint.2014.02.044 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Pezo, Lato
AU  - Mančić, Lidija
AU  - Radojević, Zagorka
PY  - 2014
UR  - http://rims.institutims.rs/handle/123456789/240
AB  - This paper describes a study of 11 selected samples of loess soil from Serbia, by using differential scanning calorimetry, simultaneously with thermogravimetry and its differential calculation, known as simultaneous thermal analysis (STA). This survey is supplemented by chemical and mineralogical analysis, particle size distribution, and plasticity and drying susceptibility tests. Correlation analysis of major oxides content and certain technological test results were used for better understanding of the raw material composition and product physical properties. The results indicate that the samples were rich in carbonates, with the highest content of alevrite fraction and variable content of clay-sized particles. Mineralogical analysis confirms significant correlations between major oxides content and reveals that the most common non-clay mineral present is quartz, followed by calcite, dolomite and sodium feldspar. Major clay minerals include illite, chlorite, smectite and, in some cases, low quantities of kaolinite. Although STA method is well-known, this is the first time that it was used for discussion about its practical aspect, for characterization of the loess deposits, in terms of exploitation in brick industry.
PB  - Elsevier, Amsterdam
T2  - Thermochimica Acta
T1  - Thermal and mineralogical characterization of loess heavy clays for potential use in brick industry
EP  - 45
SP  - 38
VL  - 580
DO  - 10.1016/j.tca.2014.01.026
ER  - 

@article{
author = "Arsenović, Milica and Pezo, Lato and Mančić, Lidija and Radojević, Zagorka",
year = "2014",
abstract = "This paper describes a study of 11 selected samples of loess soil from Serbia, by using differential scanning calorimetry, simultaneously with thermogravimetry and its differential calculation, known as simultaneous thermal analysis (STA). This survey is supplemented by chemical and mineralogical analysis, particle size distribution, and plasticity and drying susceptibility tests. Correlation analysis of major oxides content and certain technological test results were used for better understanding of the raw material composition and product physical properties. The results indicate that the samples were rich in carbonates, with the highest content of alevrite fraction and variable content of clay-sized particles. Mineralogical analysis confirms significant correlations between major oxides content and reveals that the most common non-clay mineral present is quartz, followed by calcite, dolomite and sodium feldspar. Major clay minerals include illite, chlorite, smectite and, in some cases, low quantities of kaolinite. Although STA method is well-known, this is the first time that it was used for discussion about its practical aspect, for characterization of the loess deposits, in terms of exploitation in brick industry.",
publisher = "Elsevier, Amsterdam",
journal = "Thermochimica Acta",
title = "Thermal and mineralogical characterization of loess heavy clays for potential use in brick industry",
pages = "45-38",
volume = "580",
doi = "10.1016/j.tca.2014.01.026"
}

Arsenović, M., Pezo, L., Mančić, L.,& Radojević, Z.. (2014). Thermal and mineralogical characterization of loess heavy clays for potential use in brick industry. in Thermochimica Acta
Elsevier, Amsterdam., 580, 38-45.
https://doi.org/10.1016/j.tca.2014.01.026

Arsenović M, Pezo L, Mančić L, Radojević Z. Thermal and mineralogical characterization of loess heavy clays for potential use in brick industry. in Thermochimica Acta. 2014;580:38-45.
doi:10.1016/j.tca.2014.01.026 .

Arsenović, Milica, Pezo, Lato, Mančić, Lidija, Radojević, Zagorka, "Thermal and mineralogical characterization of loess heavy clays for potential use in brick industry" in Thermochimica Acta, 580 (2014):38-45,
https://doi.org/10.1016/j.tca.2014.01.026 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Radojević, Zagorka
AU  - Stanković, Slavka
AU  - Lalić, Željko
AU  - Pezo, Lato
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/224
AB  - The need of testing the quality of brickclay arises in all brick factories, with the opening of new deposits. The analyses are both time and economically consuming, so the aim of this study was to shorten the procedure using the already known data. This study was focused on determining the usability of heavy clays, when only the raw material major elements chemical composition is determined. The effects of chemical composition, firing temperature, and several shape formats of laboratory samples on the final properties were investigated. Chemical composition of major elements was determined on the basis of classical silicate analysis. Firing was conducted in an oxidizing atmosphere, while maintaining all other experimental conditions constant, except the final temperature. Principal component analysis (PCA) was used to determinate groups of samples according to similarity of chemical composition. Prediction of compressive strength (CS) and water absorption (WA) was done by developing five artificial neural networks (ANN). The average regression coefficients r(2) were used to explore the confidence level of the models. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data, and the highest average r(2) of 0.923 for CS was obtained, while r(2) for WA was 0.958. The wide range of processing variables was considered in the model formulation, and its easy implementation in a spreadsheet using a set of equations makes it very useful and practical for CS and WA prediction. As it is known from literature, all the parameters entered this analysis are dependent on each other, but their mutual relationship was not quantified yet. Most importantly-the developed neural networks can be used on a global scale.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - What to expect from heavy clay?
EP  - 1675
IS  - 2
SP  - 1667
VL  - 39
DO  - 10.1016/j.ceramint.2012.08.009
ER  - 

@article{
author = "Arsenović, Milica and Radojević, Zagorka and Stanković, Slavka and Lalić, Željko and Pezo, Lato",
year = "2013",
abstract = "The need of testing the quality of brickclay arises in all brick factories, with the opening of new deposits. The analyses are both time and economically consuming, so the aim of this study was to shorten the procedure using the already known data. This study was focused on determining the usability of heavy clays, when only the raw material major elements chemical composition is determined. The effects of chemical composition, firing temperature, and several shape formats of laboratory samples on the final properties were investigated. Chemical composition of major elements was determined on the basis of classical silicate analysis. Firing was conducted in an oxidizing atmosphere, while maintaining all other experimental conditions constant, except the final temperature. Principal component analysis (PCA) was used to determinate groups of samples according to similarity of chemical composition. Prediction of compressive strength (CS) and water absorption (WA) was done by developing five artificial neural networks (ANN). The average regression coefficients r(2) were used to explore the confidence level of the models. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data, and the highest average r(2) of 0.923 for CS was obtained, while r(2) for WA was 0.958. The wide range of processing variables was considered in the model formulation, and its easy implementation in a spreadsheet using a set of equations makes it very useful and practical for CS and WA prediction. As it is known from literature, all the parameters entered this analysis are dependent on each other, but their mutual relationship was not quantified yet. Most importantly-the developed neural networks can be used on a global scale.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "What to expect from heavy clay?",
pages = "1675-1667",
number = "2",
volume = "39",
doi = "10.1016/j.ceramint.2012.08.009"
}

Arsenović, M., Radojević, Z., Stanković, S., Lalić, Ž.,& Pezo, L.. (2013). What to expect from heavy clay?. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(2), 1667-1675.
https://doi.org/10.1016/j.ceramint.2012.08.009

Arsenović M, Radojević Z, Stanković S, Lalić Ž, Pezo L. What to expect from heavy clay?. in Ceramics International. 2013;39(2):1667-1675.
doi:10.1016/j.ceramint.2012.08.009 .

Arsenović, Milica, Radojević, Zagorka, Stanković, Slavka, Lalić, Željko, Pezo, Lato, "What to expect from heavy clay?" in Ceramics International, 39, no. 2 (2013):1667-1675,
https://doi.org/10.1016/j.ceramint.2012.08.009 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Stanković, Slavka
AU  - Pezo, Lato
AU  - Mančić, Lidija
AU  - Radojević, Zagorka
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/217
AB  - Loess clays are commonly used to produce bricks. Heavy clays, taken at location near Zrenjanin, Serbia, are used as a representative raw material in this study. The sample, containing about 28% of clay sized particles, is enriched using two more plastic heavy clays from neighboring locations. Chemical and mineralogical content of clays is determined, as well as particle size distribution. Optimization of the processing parameters during the bricks production, i. e. temperature (900-1100 degrees C), and concentration of 2 clays combined addition (both in the range of 0-10%), is done based on the following independent parameters: compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and apparent density expressed as volume mass of cubes (VMC). Developed models showed r(2) values in the range of 0.822-0.998, and they were able to accurately predict CS, WA, FS, WLF and VMC in a wide range of processing parameters. The optimum conditions are determined by the response surface method (RSM), coupled with the fuzzy synthetic evaluation (FSE) algorithm, using membership trapezoidal function, with defined optimal interval values, depending on a final usage of the raw material in heavy clay brick industry.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Optimization of the production process through response surface method: Bricks made of loess
EP  - 3075
IS  - 3
SP  - 3065
VL  - 39
DO  - 10.1016/j.ceramint.2012.09.086
ER  - 

@article{
author = "Arsenović, Milica and Stanković, Slavka and Pezo, Lato and Mančić, Lidija and Radojević, Zagorka",
year = "2013",
abstract = "Loess clays are commonly used to produce bricks. Heavy clays, taken at location near Zrenjanin, Serbia, are used as a representative raw material in this study. The sample, containing about 28% of clay sized particles, is enriched using two more plastic heavy clays from neighboring locations. Chemical and mineralogical content of clays is determined, as well as particle size distribution. Optimization of the processing parameters during the bricks production, i. e. temperature (900-1100 degrees C), and concentration of 2 clays combined addition (both in the range of 0-10%), is done based on the following independent parameters: compressive strength (CS), water absorption (WA), firing shrinkage (FS), weight loss during firing (WLF) and apparent density expressed as volume mass of cubes (VMC). Developed models showed r(2) values in the range of 0.822-0.998, and they were able to accurately predict CS, WA, FS, WLF and VMC in a wide range of processing parameters. The optimum conditions are determined by the response surface method (RSM), coupled with the fuzzy synthetic evaluation (FSE) algorithm, using membership trapezoidal function, with defined optimal interval values, depending on a final usage of the raw material in heavy clay brick industry.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Optimization of the production process through response surface method: Bricks made of loess",
pages = "3075-3065",
number = "3",
volume = "39",
doi = "10.1016/j.ceramint.2012.09.086"
}

Arsenović, M., Stanković, S., Pezo, L., Mančić, L.,& Radojević, Z.. (2013). Optimization of the production process through response surface method: Bricks made of loess. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(3), 3065-3075.
https://doi.org/10.1016/j.ceramint.2012.09.086

Arsenović M, Stanković S, Pezo L, Mančić L, Radojević Z. Optimization of the production process through response surface method: Bricks made of loess. in Ceramics International. 2013;39(3):3065-3075.
doi:10.1016/j.ceramint.2012.09.086 .

Arsenović, Milica, Stanković, Slavka, Pezo, Lato, Mančić, Lidija, Radojević, Zagorka, "Optimization of the production process through response surface method: Bricks made of loess" in Ceramics International, 39, no. 3 (2013):3065-3075,
https://doi.org/10.1016/j.ceramint.2012.09.086 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Pezo, Lato
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/212
AB  - Compressive strength and water absorption of fired heavy clay products varies with firing temperatures, but not entirely according to linear function, as it is mostly reported in literature. Also, differential thermo-gravimetric curve shows many turnovers in all the samples tested, within observed temperature range (820-920 degrees C). The aim of this research was to find a cause for such behaviour. Except derivative weight (DW), compressive strength (CS) and water absorption (WA) are chosen as outputs that represent properties of the fired samples. These parameters can be calculated using second order polynomial models (SOPs), on the basis of content of major oxides and firing temperature, as shown in our previous research. Sensitivity analysis was used as the effective approach in testing changes observed in the SOP outputs, due to the variation of content of major oxides for +1% or -1% of their nominal value. This study reveals in more detail the most significant influence of inputs (SiO2, Al2O3, Fe2O3 and CaO content) over the outputs (DW, CS and WA) in every observed firing temperature. Addition or lowering of content of major oxides can both increase and decrease all the observed outputs, as revealed using sensitivity analysis.
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Sensitivity analysis of mathematical models for final product properties: Link to DTG curve
EP  - 6285
IS  - 6
SP  - 6277
VL  - 39
DO  - 10.1016/j.ceramint.2013.01.049
ER  - 

@article{
author = "Arsenović, Milica and Pezo, Lato and Stanković, Slavka and Radojević, Zagorka",
year = "2013",
abstract = "Compressive strength and water absorption of fired heavy clay products varies with firing temperatures, but not entirely according to linear function, as it is mostly reported in literature. Also, differential thermo-gravimetric curve shows many turnovers in all the samples tested, within observed temperature range (820-920 degrees C). The aim of this research was to find a cause for such behaviour. Except derivative weight (DW), compressive strength (CS) and water absorption (WA) are chosen as outputs that represent properties of the fired samples. These parameters can be calculated using second order polynomial models (SOPs), on the basis of content of major oxides and firing temperature, as shown in our previous research. Sensitivity analysis was used as the effective approach in testing changes observed in the SOP outputs, due to the variation of content of major oxides for +1% or -1% of their nominal value. This study reveals in more detail the most significant influence of inputs (SiO2, Al2O3, Fe2O3 and CaO content) over the outputs (DW, CS and WA) in every observed firing temperature. Addition or lowering of content of major oxides can both increase and decrease all the observed outputs, as revealed using sensitivity analysis.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Sensitivity analysis of mathematical models for final product properties: Link to DTG curve",
pages = "6285-6277",
number = "6",
volume = "39",
doi = "10.1016/j.ceramint.2013.01.049"
}

Arsenović, M., Pezo, L., Stanković, S.,& Radojević, Z.. (2013). Sensitivity analysis of mathematical models for final product properties: Link to DTG curve. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(6), 6277-6285.
https://doi.org/10.1016/j.ceramint.2013.01.049

Arsenović M, Pezo L, Stanković S, Radojević Z. Sensitivity analysis of mathematical models for final product properties: Link to DTG curve. in Ceramics International. 2013;39(6):6277-6285.
doi:10.1016/j.ceramint.2013.01.049 .

Arsenović, Milica, Pezo, Lato, Stanković, Slavka, Radojević, Zagorka, "Sensitivity analysis of mathematical models for final product properties: Link to DTG curve" in Ceramics International, 39, no. 6 (2013):6277-6285,
https://doi.org/10.1016/j.ceramint.2013.01.049 . .

TY  - JOUR
AU  - Arsenović, Milica
AU  - Stanković, Slavka
AU  - Radojević, Zagorka
AU  - Pezo, Lato
PY  - 2013
UR  - http://rims.institutims.rs/handle/123456789/197
AB  - Many factors influence final clay brick properties, since the raw materials used are highly heterogeneous. Statistical analysis is rarely used, according to literature, but it would improve understanding of the overall system behavior and the quality of products. In this study, analysis of variance (ANOVA) showed that the most important parameters influencing compressive strength (CS) were the quadratic terms of firing temperature, CaO and SiO2 content in developed second order polynomial (SOP) models. Water absorption (WA) was mostly influenced by quadratic terms of CaO and SiO2. The most influential interchange terms in all the models were SiO2 x CaO, SiO2 x Na2O, Fe2O3 x Na2O, CaO x Na2O and CaO x K2O. Developed SOP models, which connected the influence of major oxides content and firing temperature on CS and WA, showed the highest r(2) values (0.926-0.967) obtained in the literature so far, for these naturally occurring heavy clay raw materials. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data. The implementation of the SOP model is simple using the set of equations in a spreadsheet. The focus of this study was to determine the optimal composition and firing temperature, depending on final usage of the raw material in heavy clay brick industry. The study was conducted using fuzzy synthetic evaluation, through membership trapezoidal function, with pre-defined optimal interval values for every group of heavy clay products. The optimal samples chemical composition and firing temperature were chosen regarding the kind of the heavy clay product (I-solid bricks, II-hollow blocks and ceiling elements, and III-roof tiles).
PB  - Elsevier Sci Ltd, Oxford
T2  - Ceramics International
T1  - Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production
EP  - 2022
IS  - 2
SP  - 2013
VL  - 39
DO  - 10.1016/j.ceramint.2012.08.053
ER  - 

@article{
author = "Arsenović, Milica and Stanković, Slavka and Radojević, Zagorka and Pezo, Lato",
year = "2013",
abstract = "Many factors influence final clay brick properties, since the raw materials used are highly heterogeneous. Statistical analysis is rarely used, according to literature, but it would improve understanding of the overall system behavior and the quality of products. In this study, analysis of variance (ANOVA) showed that the most important parameters influencing compressive strength (CS) were the quadratic terms of firing temperature, CaO and SiO2 content in developed second order polynomial (SOP) models. Water absorption (WA) was mostly influenced by quadratic terms of CaO and SiO2. The most influential interchange terms in all the models were SiO2 x CaO, SiO2 x Na2O, Fe2O3 x Na2O, CaO x Na2O and CaO x K2O. Developed SOP models, which connected the influence of major oxides content and firing temperature on CS and WA, showed the highest r(2) values (0.926-0.967) obtained in the literature so far, for these naturally occurring heavy clay raw materials. Developed models were able to predict CS and WA in a wide range of chemical composition and temperature treatment data. The implementation of the SOP model is simple using the set of equations in a spreadsheet. The focus of this study was to determine the optimal composition and firing temperature, depending on final usage of the raw material in heavy clay brick industry. The study was conducted using fuzzy synthetic evaluation, through membership trapezoidal function, with pre-defined optimal interval values for every group of heavy clay products. The optimal samples chemical composition and firing temperature were chosen regarding the kind of the heavy clay product (I-solid bricks, II-hollow blocks and ceiling elements, and III-roof tiles).",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Ceramics International",
title = "Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production",
pages = "2022-2013",
number = "2",
volume = "39",
doi = "10.1016/j.ceramint.2012.08.053"
}

Arsenović, M., Stanković, S., Radojević, Z.,& Pezo, L.. (2013). Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production. in Ceramics International
Elsevier Sci Ltd, Oxford., 39(2), 2013-2022.
https://doi.org/10.1016/j.ceramint.2012.08.053

Arsenović M, Stanković S, Radojević Z, Pezo L. Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production. in Ceramics International. 2013;39(2):2013-2022.
doi:10.1016/j.ceramint.2012.08.053 .

Arsenović, Milica, Stanković, Slavka, Radojević, Zagorka, Pezo, Lato, "Prediction and fuzzy synthetic optimization of process parameters in heavy clay brick production" in Ceramics International, 39, no. 2 (2013):2013-2022,
https://doi.org/10.1016/j.ceramint.2012.08.053 . .