Pezo, Milada

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orcid::0000-0003-3285-0520
  • Pezo, Milada (6)

Author's Bibliography

Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia

Vasić, Milica; Goel, Gaurav; Dubale, Mandefrot; Živković, Slavica; Trivunić, Milan; Pezo, Milada; Pezo, Lato

(MDPI, 2023)

TY  - JOUR
AU  - Vasić, Milica
AU  - Goel, Gaurav
AU  - Dubale, Mandefrot
AU  - Živković, Slavica
AU  - Trivunić, Milan
AU  - Pezo, Milada
AU  - Pezo, Lato
PY  - 2023
UR  - http://rims.institutims.rs/handle/123456789/449
AB  - The main idea of the present study was to investigate the impact of the ongoing world
crisis on the socio-economic issues in Serbia concerning building materials usage and purchase. This research fills in the gaps in the literature and contributes to the comprehension of how the crisis has affected salaries, market pricing, and materials consumption in the building sector. The data are gathered through a questionnaire and analyzed using a statistical methodology (frequencies, descriptive statistics, and Spearman’s correlations). Most of the former studies investigated the surveys conducted on specialists in the field, while this study analyzed the perspectives of random people. Socio-demographic issues are analyzed along with materials consumption before and after the crisis. A special emphasis is given to ecological awareness and novel materials usage. Additionally, it captures a broad shift in the economy and ecological consciousness in a developing country. The majority of respondents are open to using novel building materials and products, but their choice would largely be influenced by cost, the amount of effort involved, and their understanding of the advantages. Statistical approaches revealed that the crisis has a considerable impact on the markets for construction and building supplies, altering consumers’ decisions when purchasing.
This contribution lays the groundwork for developing countries in the modern world to improve
sustainability and adopt circular thinking. Professionals in Serbia need to have a more eco-aware
mindset and enhance how they provide pertinent information to potential clients. This study is
limited by the number of respondents. For future mathematical modeling and forecasting, more
answerers are needed.
PB  - MDPI
T2  - Sustainability 2023, 15, 4080
T1  - Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia
VL  - 15
DO  - 10.3390/su15054080
ER  - 
@article{
author = "Vasić, Milica and Goel, Gaurav and Dubale, Mandefrot and Živković, Slavica and Trivunić, Milan and Pezo, Milada and Pezo, Lato",
year = "2023",
abstract = "The main idea of the present study was to investigate the impact of the ongoing world
crisis on the socio-economic issues in Serbia concerning building materials usage and purchase. This research fills in the gaps in the literature and contributes to the comprehension of how the crisis has affected salaries, market pricing, and materials consumption in the building sector. The data are gathered through a questionnaire and analyzed using a statistical methodology (frequencies, descriptive statistics, and Spearman’s correlations). Most of the former studies investigated the surveys conducted on specialists in the field, while this study analyzed the perspectives of random people. Socio-demographic issues are analyzed along with materials consumption before and after the crisis. A special emphasis is given to ecological awareness and novel materials usage. Additionally, it captures a broad shift in the economy and ecological consciousness in a developing country. The majority of respondents are open to using novel building materials and products, but their choice would largely be influenced by cost, the amount of effort involved, and their understanding of the advantages. Statistical approaches revealed that the crisis has a considerable impact on the markets for construction and building supplies, altering consumers’ decisions when purchasing.
This contribution lays the groundwork for developing countries in the modern world to improve
sustainability and adopt circular thinking. Professionals in Serbia need to have a more eco-aware
mindset and enhance how they provide pertinent information to potential clients. This study is
limited by the number of respondents. For future mathematical modeling and forecasting, more
answerers are needed.",
publisher = "MDPI",
journal = "Sustainability 2023, 15, 4080",
title = "Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia",
volume = "15",
doi = "10.3390/su15054080"
}
Vasić, M., Goel, G., Dubale, M., Živković, S., Trivunić, M., Pezo, M.,& Pezo, L.. (2023). Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia. in Sustainability 2023, 15, 4080
MDPI., 15.
https://doi.org/10.3390/su15054080
Vasić M, Goel G, Dubale M, Živković S, Trivunić M, Pezo M, Pezo L. Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia. in Sustainability 2023, 15, 4080. 2023;15.
doi:10.3390/su15054080 .
Vasić, Milica, Goel, Gaurav, Dubale, Mandefrot, Živković, Slavica, Trivunić, Milan, Pezo, Milada, Pezo, Lato, "Socio-Economic Analysis of the Construction and Building Materials’ Usage—Ecological Awareness in the Case of Serbia" in Sustainability 2023, 15, 4080, 15 (2023),
https://doi.org/10.3390/su15054080 . .
1
5

Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives

Terzić, Anja; Pezo, Milada; Pezo, Lato

(2023)

TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Milada
AU  - Pezo, Lato
PY  - 2023
UR  - http://rims.institutims.rs/handle/123456789/499
AB  - The machine learning technique for prediction and optimization of building material performances became an essential feature in the contemporary civil engineering. The Artificial Neural Network (ANN) prognosis of mortar behavior was conducted in this study. The model appraised the design and characteristics of seventeen either building or high-temperature mortars. Seven different cement types were employed. Seventeen mineral additives of primary and secondary origin were embedded in the mortar mixtures. Cluster Analysis and Principal Component Analysis designated groups of similar mortars assigning them a specific purpose based on monitored characteristics. ANN foresaw the quality of designed mortars. The impact of implemented raw materials on the mortar quality was assessed and evaluated. ANN outputs highlighted the high suitability level of anticipation, i.e., 0.999 during the training period, which is regarded appropriate enough to correctly predict the observed outputs in a wide range of processing parameters. Due to the high predictive accuracy, ANN can replace or be used in combination with standard destructive tests thereby saving the construction industry time, resources, and capital. Good performances of altered cement mortars are positive sign for widening of economical mineral additives application in building materials and making progress towards achieved carbon neutrality by reducing its emission.
T2  - Science of Sintering
T1  - Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives
EP  - 27
IS  - 1
SP  - 11
VL  - 55
DO  - 10.2298/SOS2301011T
ER  - 
@article{
author = "Terzić, Anja and Pezo, Milada and Pezo, Lato",
year = "2023",
abstract = "The machine learning technique for prediction and optimization of building material performances became an essential feature in the contemporary civil engineering. The Artificial Neural Network (ANN) prognosis of mortar behavior was conducted in this study. The model appraised the design and characteristics of seventeen either building or high-temperature mortars. Seven different cement types were employed. Seventeen mineral additives of primary and secondary origin were embedded in the mortar mixtures. Cluster Analysis and Principal Component Analysis designated groups of similar mortars assigning them a specific purpose based on monitored characteristics. ANN foresaw the quality of designed mortars. The impact of implemented raw materials on the mortar quality was assessed and evaluated. ANN outputs highlighted the high suitability level of anticipation, i.e., 0.999 during the training period, which is regarded appropriate enough to correctly predict the observed outputs in a wide range of processing parameters. Due to the high predictive accuracy, ANN can replace or be used in combination with standard destructive tests thereby saving the construction industry time, resources, and capital. Good performances of altered cement mortars are positive sign for widening of economical mineral additives application in building materials and making progress towards achieved carbon neutrality by reducing its emission.",
journal = "Science of Sintering",
title = "Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives",
pages = "27-11",
number = "1",
volume = "55",
doi = "10.2298/SOS2301011T"
}
Terzić, A., Pezo, M.,& Pezo, L.. (2023). Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives. in Science of Sintering, 55(1), 11-27.
https://doi.org/10.2298/SOS2301011T
Terzić A, Pezo M, Pezo L. Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives. in Science of Sintering. 2023;55(1):11-27.
doi:10.2298/SOS2301011T .
Terzić, Anja, Pezo, Milada, Pezo, Lato, "Application of Artificial Neural Networks in Performance Prediction of Cement Mortars with Various Mineral Additives" in Science of Sintering, 55, no. 1 (2023):11-27,
https://doi.org/10.2298/SOS2301011T . .

Potential pathway for recycling of the paper mill sludge compost for brick making

Goel, Gaurav; Vasić, Milica; Katiyar, Nirmal Kumar; Kirthika, S. K.; Pezo, Milada; Dinakar, P.

(Elsevier Sci Ltd, Oxford, 2021)

TY  - JOUR
AU  - Goel, Gaurav
AU  - Vasić, Milica
AU  - Katiyar, Nirmal Kumar
AU  - Kirthika, S. K.
AU  - Pezo, Milada
AU  - Dinakar, P.
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/398
AB  - This study's focus was to develop a potential pathway for recycling of the paper mill sludge compost (PMSC) in brick making. Composting reduces the paper mill sludge (PMS) moisture content considerably and shredding becomes easier. The addition of PMSC leads to an increase of porosities in bricks and makes them lighter, besides delivering energy to the firing process from burning organics. Lighter construction materials help minimize construction outlay by reducing labour and transportation costs and lesser expense on foundation construction. The variability in the experimental data and the brick properties were investigated for two types of soils, typical in the brick industry of India (alluvial and laterite soil), blended with PMSC in five mix ratios (0%, 5%, 10%, 15% and 20%). The samples of oven-dried bricks were fired at two different temperatures (850 and 900 degrees C) in an electrically operated muffle furnace representing typical conditions of a brick kiln. Various properties of bricks were analyzed which included linear shrinkage, bulk density, water absorption and compressive strength. Conclusions were drawn based on these properties. It was found that the addition of PMSC to the alluvial and laterite soil by up to 10% weight yield mechanical properties of fired bricks compliant with the relevant Indian and ASTM codes. Toxicity characteristic leaching procedure (TCLP) tests showed that PMSC incorporated fired bricks are safe to use in regular applications as non-load-bearing and infill walls. This study is timely in light of the European Green Deal putting focus on circular economy. Besides, it fulfills the objective of UN sustainable development goals (SDG).
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - Potential pathway for recycling of the paper mill sludge compost for brick making
VL  - 278
DO  - 10.1016/j.conbuildmat.2021.122384
ER  - 
@article{
author = "Goel, Gaurav and Vasić, Milica and Katiyar, Nirmal Kumar and Kirthika, S. K. and Pezo, Milada and Dinakar, P.",
year = "2021",
abstract = "This study's focus was to develop a potential pathway for recycling of the paper mill sludge compost (PMSC) in brick making. Composting reduces the paper mill sludge (PMS) moisture content considerably and shredding becomes easier. The addition of PMSC leads to an increase of porosities in bricks and makes them lighter, besides delivering energy to the firing process from burning organics. Lighter construction materials help minimize construction outlay by reducing labour and transportation costs and lesser expense on foundation construction. The variability in the experimental data and the brick properties were investigated for two types of soils, typical in the brick industry of India (alluvial and laterite soil), blended with PMSC in five mix ratios (0%, 5%, 10%, 15% and 20%). The samples of oven-dried bricks were fired at two different temperatures (850 and 900 degrees C) in an electrically operated muffle furnace representing typical conditions of a brick kiln. Various properties of bricks were analyzed which included linear shrinkage, bulk density, water absorption and compressive strength. Conclusions were drawn based on these properties. It was found that the addition of PMSC to the alluvial and laterite soil by up to 10% weight yield mechanical properties of fired bricks compliant with the relevant Indian and ASTM codes. Toxicity characteristic leaching procedure (TCLP) tests showed that PMSC incorporated fired bricks are safe to use in regular applications as non-load-bearing and infill walls. This study is timely in light of the European Green Deal putting focus on circular economy. Besides, it fulfills the objective of UN sustainable development goals (SDG).",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "Potential pathway for recycling of the paper mill sludge compost for brick making",
volume = "278",
doi = "10.1016/j.conbuildmat.2021.122384"
}
Goel, G., Vasić, M., Katiyar, N. K., Kirthika, S. K., Pezo, M.,& Dinakar, P.. (2021). Potential pathway for recycling of the paper mill sludge compost for brick making. in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 278.
https://doi.org/10.1016/j.conbuildmat.2021.122384
Goel G, Vasić M, Katiyar NK, Kirthika SK, Pezo M, Dinakar P. Potential pathway for recycling of the paper mill sludge compost for brick making. in Construction and Building Materials. 2021;278.
doi:10.1016/j.conbuildmat.2021.122384 .
Goel, Gaurav, Vasić, Milica, Katiyar, Nirmal Kumar, Kirthika, S. K., Pezo, Milada, Dinakar, P., "Potential pathway for recycling of the paper mill sludge compost for brick making" in Construction and Building Materials, 278 (2021),
https://doi.org/10.1016/j.conbuildmat.2021.122384 . .
4
21
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Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture

Pezo, Lato; Pezo, Milada; Terzić, Anja; Jovanović, Aca P.; Lončar, Biljana; Govedarica, Dragan; Kojić, Predrag

(MDPI, Basel, 2021)

TY  - JOUR
AU  - Pezo, Lato
AU  - Pezo, Milada
AU  - Terzić, Anja
AU  - Jovanović, Aca P.
AU  - Lončar, Biljana
AU  - Govedarica, Dragan
AU  - Kojić, Predrag
PY  - 2021
UR  - http://rims.institutims.rs/handle/123456789/408
AB  - The numerical model of the granular flow within an aggregate mixture, conducted in the vertical static and/or the conveyor blender, was explored using the discrete element method (DEM) approach. The blending quality of limestone fine aggregate fractions binary mixture for application in self-compacting concrete was studied. The potential of augmenting the conveyor mixer working efficiency by joining its operation to a Komax-type vertical static mixer, to increase the blending conduct was investigated. In addition the impact of the feed height on the flow field in the cone-shaped conveyor mixer was examined using the DEM simulation. Applying the numerical approach enabled a deeper insight into the quality of blending actions, while the relative standard deviation criteria ranked the uniformity of the mixture. The primary objective of this investigation was to examine the behavior of mixture for two types of blenders and to estimate the combined blending action of these two mixers, to explore the potential to augment the homogeneity of the aggregate fractions binary mixture, i.e., mixing quality, reduce the blending time and to abbreviate the energy-consuming.
PB  - MDPI, Basel
T2  - Processes
T1  - Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture
IS  - 11
VL  - 9
DO  - 10.3390/pr9111991
ER  - 
@article{
author = "Pezo, Lato and Pezo, Milada and Terzić, Anja and Jovanović, Aca P. and Lončar, Biljana and Govedarica, Dragan and Kojić, Predrag",
year = "2021",
abstract = "The numerical model of the granular flow within an aggregate mixture, conducted in the vertical static and/or the conveyor blender, was explored using the discrete element method (DEM) approach. The blending quality of limestone fine aggregate fractions binary mixture for application in self-compacting concrete was studied. The potential of augmenting the conveyor mixer working efficiency by joining its operation to a Komax-type vertical static mixer, to increase the blending conduct was investigated. In addition the impact of the feed height on the flow field in the cone-shaped conveyor mixer was examined using the DEM simulation. Applying the numerical approach enabled a deeper insight into the quality of blending actions, while the relative standard deviation criteria ranked the uniformity of the mixture. The primary objective of this investigation was to examine the behavior of mixture for two types of blenders and to estimate the combined blending action of these two mixers, to explore the potential to augment the homogeneity of the aggregate fractions binary mixture, i.e., mixing quality, reduce the blending time and to abbreviate the energy-consuming.",
publisher = "MDPI, Basel",
journal = "Processes",
title = "Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture",
number = "11",
volume = "9",
doi = "10.3390/pr9111991"
}
Pezo, L., Pezo, M., Terzić, A., Jovanović, A. P., Lončar, B., Govedarica, D.,& Kojić, P.. (2021). Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture. in Processes
MDPI, Basel., 9(11).
https://doi.org/10.3390/pr9111991
Pezo L, Pezo M, Terzić A, Jovanović AP, Lončar B, Govedarica D, Kojić P. Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture. in Processes. 2021;9(11).
doi:10.3390/pr9111991 .
Pezo, Lato, Pezo, Milada, Terzić, Anja, Jovanović, Aca P., Lončar, Biljana, Govedarica, Dragan, Kojić, Predrag, "Experimental and Discrete Element Model Investigation of Limestone Aggregate Blending Process in Vertical Static and/or Conveyor Mixer for Application in the Concrete Mixture" in Processes, 9, no. 11 (2021),
https://doi.org/10.3390/pr9111991 . .
2
2

Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders

Terzić, Anja; Radulović, Dragan; Pezo, Milada; Stojanović, Jovica; Pezo, Lato; Radojević, Zagorka; Andrić, Ljubiša

(Elsevier Sci Ltd, Oxford, 2020)

TY  - JOUR
AU  - Terzić, Anja
AU  - Radulović, Dragan
AU  - Pezo, Milada
AU  - Stojanović, Jovica
AU  - Pezo, Lato
AU  - Radojević, Zagorka
AU  - Andrić, Ljubiša
PY  - 2020
UR  - http://rims.institutims.rs/handle/123456789/393
AB  - The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.
PB  - Elsevier Sci Ltd, Oxford
T2  - Construction and Building Materials
T1  - Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders
VL  - 258
DO  - 10.1016/j.conbuildmat.2020.119721
ER  - 
@article{
author = "Terzić, Anja and Radulović, Dragan and Pezo, Milada and Stojanović, Jovica and Pezo, Lato and Radojević, Zagorka and Andrić, Ljubiša",
year = "2020",
abstract = "The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill performing under different technological conditions were determined by analytical modeling and verified via Artificial Neural Network in order to be employed in the production of cement-based binders. Cluster Analysis and Principal Component Analysis were utilized in assessment of the effect of activation process parameters on the activated pyrophyllite quality. Artificial Neural Network which performed with high prediction accuracy, i.e. 0.914 during the training period, was sufficient for precise prediction of activated pyrophyllite quality in a wide range of processing parameters. The probability of utilization of observed activation products was estimated through interrelation of technological parameters (mesh size sieve, activation period, specific energy consumption) and acquired characteristics of pyrophyllite (grain diameter, specific surface area). The optimal products singled out from each activation sequence were used as mineral additives in the mix-designs of four cement binders (cement replacement portion was 30%). Influence of activated pyrophyllite additions on the cement chemistry, mineral phase compositions and microstructures of the cement binders were monitored by instrumental techniques (DTA/TGA, XRD, SEM). Activated pyrophyllite showed characteristics of pozzolana as it slightly accelerated early stages of hydration, decreased cement hydration energy and increased the quantity of cement mineral alite at later hydration stages. Micron-sized crystalline foila characteristic for mechanically activated pyrophyllite formed micro-reinforcement within cement binder microstructure.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Construction and Building Materials",
title = "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders",
volume = "258",
doi = "10.1016/j.conbuildmat.2020.119721"
}
Terzić, A., Radulović, D., Pezo, M., Stojanović, J., Pezo, L., Radojević, Z.,& Andrić, L.. (2020). Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials
Elsevier Sci Ltd, Oxford., 258.
https://doi.org/10.1016/j.conbuildmat.2020.119721
Terzić A, Radulović D, Pezo M, Stojanović J, Pezo L, Radojević Z, Andrić L. Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders. in Construction and Building Materials. 2020;258.
doi:10.1016/j.conbuildmat.2020.119721 .
Terzić, Anja, Radulović, Dragan, Pezo, Milada, Stojanović, Jovica, Pezo, Lato, Radojević, Zagorka, Andrić, Ljubiša, "Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders" in Construction and Building Materials, 258 (2020),
https://doi.org/10.1016/j.conbuildmat.2020.119721 . .
9
2
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Discrete element model of particle transport and premixing action in modified screw conveyors

Pezo, Milada; Pezo, Lato; Jovanović, Aca P.; Terzić, Anja; Andrić, Ljubiša; Lončar, Biljana; Kojić, Predrag

(Elsevier Science Bv, Amsterdam, 2018)

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 . .
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