TY  - JOUR
AU  - Terzić, Anja
AU  - Pezo, Lato
AU  - Andrić, Ljubiša
AU  - Pavlović, Vladimir B.
AU  - Mitić, Vojislav V.
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/2350
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 r2 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
T2  - Ceramics International
T1  - Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling
SP  - 2549
EP  - 2562
VL  - 43
IS  - 2
DO  - 10.1016/j.ceramint.2016.11.058
UR  - https://hdl.handle.net/21.15107/rcub_dais_2350
ER  - 

@article{
author = "Terzić, Anja and Pezo, Lato and Andrić, Ljubiša and Pavlović, Vladimir B. and Mitić, Vojislav V.",
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 r2 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",
journal = "Ceramics International",
title = "Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling",
pages = "2549-2562",
volume = "43",
number = "2",
doi = "10.1016/j.ceramint.2016.11.058",
url = "https://hdl.handle.net/21.15107/rcub_dais_2350"
}

Terzić, A., Pezo, L., Andrić, L., Pavlović, V. B.,& Mitić, V. V.. (2017). Optimization of bentonite clay mechano-chemical activation using artificial neural network modeling. in Ceramics International
Elsevier., 43(2), 2549-2562.
https://doi.org/10.1016/j.ceramint.2016.11.058
https://hdl.handle.net/21.15107/rcub_dais_2350

Terzić A, Pezo L, Andrić L, Pavlović VB, Mitić VV. 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
https://hdl.handle.net/21.15107/rcub_dais_2350 .

Terzić, Anja, Pezo, Lato, Andrić, Ljubiša, Pavlović, Vladimir B., Mitić, Vojislav V., "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 .,
https://hdl.handle.net/21.15107/rcub_dais_2350 .

TY  - JOUR
AU  - Terzić, Anja
AU  - Andrić, Ljubiša
AU  - Mitić, Vojislav V.
PY  - 2014
UR  - https://dais.sanu.ac.rs/123456789/666
AB  - In this study, the feasibility of alumina phase transition enhancement by mechanical activation was conducted. It was showed that the milling environment plays an important role on the physical, chemical and thermal behavior of the alumina powder utilized as refractory component material. The aim of the investigation was to increase the reactivity of the starting γ-Al2O3 by mechanical treatment in two types of high-energy activators – vibratory disc mill and vibratory ball mill. In continuation, the decrease of the subsequent sintering temperature as well as the treatment duration would be induced by making the transition into final thermo-stable α-Al2O3 modification easier and faster. Full factorial experiment was conducted and the results were analyzed by the proposed mathematical model in order to understand the effects of the activation process variables on the amount and physical characteristics of the synthesized (activated and subsequently thermally treated) product and to establish the optimal activation period. As the result of the analysis, operation parameters of the activator and activation period were found to be the most important factors. The initial γ-Al2O3 and synthesized α-Al2O3 were thoroughly analyzed by DTA, XRD, IR and SEM methods. Thermal behavior of γ and α-modification were studied by differential thermal analysis conducted in the same environment, under same heating rates. X-ray diffraction analysis gave reliable identification of the crystal phases and changes in crystallinity of treated alumina. Based on XRD peak intensity measurements, the γ-Al2O3 almost completely passed (95%) into α-Al2O3 after 180 min of activation in vibratory ball mill and subsequent thermal treatment (2 h/1200 °C). SEM microphotographs with accompanying image analysis PC program highlighted changes in size and shape of particles of initial and synthesized Al2O3. Synthesized Al2O3 exquisite thermal behavior characteristic for refractory compounds, demonstrated that it is possible to obtain α-alumina at lower transformation temperatures in shorter time intervals by applying mechanical activation.
PB  - Elsevier
T2  - Ceramics International
T1  - Assessment of intensive grinding effects on alumina as refractory compound: Acceleration of γ to α phase transformation mechanism
SP  - 14851
EP  - 14863
VL  - 40
IS  - 8 Part B
DO  - 10.1016/j.ceramint.2014.06.080
UR  - https://hdl.handle.net/21.15107/rcub_dais_666
ER  - 

@article{
author = "Terzić, Anja and Andrić, Ljubiša and Mitić, Vojislav V.",
year = "2014",
abstract = "In this study, the feasibility of alumina phase transition enhancement by mechanical activation was conducted. It was showed that the milling environment plays an important role on the physical, chemical and thermal behavior of the alumina powder utilized as refractory component material. The aim of the investigation was to increase the reactivity of the starting γ-Al2O3 by mechanical treatment in two types of high-energy activators – vibratory disc mill and vibratory ball mill. In continuation, the decrease of the subsequent sintering temperature as well as the treatment duration would be induced by making the transition into final thermo-stable α-Al2O3 modification easier and faster. Full factorial experiment was conducted and the results were analyzed by the proposed mathematical model in order to understand the effects of the activation process variables on the amount and physical characteristics of the synthesized (activated and subsequently thermally treated) product and to establish the optimal activation period. As the result of the analysis, operation parameters of the activator and activation period were found to be the most important factors. The initial γ-Al2O3 and synthesized α-Al2O3 were thoroughly analyzed by DTA, XRD, IR and SEM methods. Thermal behavior of γ and α-modification were studied by differential thermal analysis conducted in the same environment, under same heating rates. X-ray diffraction analysis gave reliable identification of the crystal phases and changes in crystallinity of treated alumina. Based on XRD peak intensity measurements, the γ-Al2O3 almost completely passed (95%) into α-Al2O3 after 180 min of activation in vibratory ball mill and subsequent thermal treatment (2 h/1200 °C). SEM microphotographs with accompanying image analysis PC program highlighted changes in size and shape of particles of initial and synthesized Al2O3. Synthesized Al2O3 exquisite thermal behavior characteristic for refractory compounds, demonstrated that it is possible to obtain α-alumina at lower transformation temperatures in shorter time intervals by applying mechanical activation.",
publisher = "Elsevier",
journal = "Ceramics International",
title = "Assessment of intensive grinding effects on alumina as refractory compound: Acceleration of γ to α phase transformation mechanism",
pages = "14851-14863",
volume = "40",
number = "8 Part B",
doi = "10.1016/j.ceramint.2014.06.080",
url = "https://hdl.handle.net/21.15107/rcub_dais_666"
}

Terzić, A., Andrić, L.,& Mitić, V. V.. (2014). Assessment of intensive grinding effects on alumina as refractory compound: Acceleration of γ to α phase transformation mechanism. in Ceramics International
Elsevier., 40(8 Part B), 14851-14863.
https://doi.org/10.1016/j.ceramint.2014.06.080
https://hdl.handle.net/21.15107/rcub_dais_666

Terzić A, Andrić L, Mitić VV. Assessment of intensive grinding effects on alumina as refractory compound: Acceleration of γ to α phase transformation mechanism. in Ceramics International. 2014;40(8 Part B):14851-14863.
doi:10.1016/j.ceramint.2014.06.080
https://hdl.handle.net/21.15107/rcub_dais_666 .

Terzić, Anja, Andrić, Ljubiša, Mitić, Vojislav V., "Assessment of intensive grinding effects on alumina as refractory compound: Acceleration of γ to α phase transformation mechanism" in Ceramics International, 40, no. 8 Part B (2014):14851-14863,
https://doi.org/10.1016/j.ceramint.2014.06.080 .,
https://hdl.handle.net/21.15107/rcub_dais_666 .