TY  - CHAP
AU  - Arsenović, Milica
AU  - Pezo, Lato
AU  - Mančić, Lidija
AU  - Radojević, Zagorka
PY  - 2014
UR  - http://rims.institutims.rs/handle/123456789/256
AB  - The effects of chemical composition, firing temperature (800-1100 °C), and several shape formats of laboratory brick samples on the final product quality were investigated. Prediction of the final laboratory products parameters was evaluated by second order polynomial regression models (SOPs) and artificial neural networks (ANNs), and aft erwards compared to experimental results. SOPs showed high r2 values (0.897-0.913 for compressive strength models, 0.942-0.962 for water absorption, 0.928 for firing shrinkage, 0.988-0.991 for water loss during firing, and 0.941 for volume mass of cubes models). An ANN model, coupled with sensitivity analysis, was obtained with high prediction accuracy: 0.866-0.939 for compressive strength models, 0.954-0.974 for water absorption, 0.882 for firing shrinkage, 0.982-0.988 for water loss during firing, and 0.920 for volume mass of cubes models. The optimal samples' chemical composition and firing temperature were chosen depending on a final usage of the raw material in heavy clay brick industry.
PB  - Wiley Blackwell
T2  - Advanced Materials for Agriculture, Food and Environmental Safety
T1  - Prediction and Optimization of Heavy Clay Products Quality
EP  - 120
SP  - 87
VL  - 9781118773437
DO  - 10.1002/9781118773857.ch4
ER  - 

@inbook{
author = "Arsenović, Milica and Pezo, Lato and Mančić, Lidija and Radojević, Zagorka",
year = "2014",
abstract = "The effects of chemical composition, firing temperature (800-1100 °C), and several shape formats of laboratory brick samples on the final product quality were investigated. Prediction of the final laboratory products parameters was evaluated by second order polynomial regression models (SOPs) and artificial neural networks (ANNs), and aft erwards compared to experimental results. SOPs showed high r2 values (0.897-0.913 for compressive strength models, 0.942-0.962 for water absorption, 0.928 for firing shrinkage, 0.988-0.991 for water loss during firing, and 0.941 for volume mass of cubes models). An ANN model, coupled with sensitivity analysis, was obtained with high prediction accuracy: 0.866-0.939 for compressive strength models, 0.954-0.974 for water absorption, 0.882 for firing shrinkage, 0.982-0.988 for water loss during firing, and 0.920 for volume mass of cubes models. The optimal samples' chemical composition and firing temperature were chosen depending on a final usage of the raw material in heavy clay brick industry.",
publisher = "Wiley Blackwell",
journal = "Advanced Materials for Agriculture, Food and Environmental Safety",
booktitle = "Prediction and Optimization of Heavy Clay Products Quality",
pages = "120-87",
volume = "9781118773437",
doi = "10.1002/9781118773857.ch4"
}

Arsenović, M., Pezo, L., Mančić, L.,& Radojević, Z.. (2014). Prediction and Optimization of Heavy Clay Products Quality. in Advanced Materials for Agriculture, Food and Environmental Safety
Wiley Blackwell., 9781118773437, 87-120.
https://doi.org/10.1002/9781118773857.ch4

Arsenović M, Pezo L, Mančić L, Radojević Z. Prediction and Optimization of Heavy Clay Products Quality. in Advanced Materials for Agriculture, Food and Environmental Safety. 2014;9781118773437:87-120.
doi:10.1002/9781118773857.ch4 .

Arsenović, Milica, Pezo, Lato, Mančić, Lidija, Radojević, Zagorka, "Prediction and Optimization of Heavy Clay Products Quality" in Advanced Materials for Agriculture, Food and Environmental Safety, 9781118773437 (2014):87-120,
https://doi.org/10.1002/9781118773857.ch4 . .

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  - 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 . .