Comprehensive approach to the influence of frequently used secondary raw materials on clay bricks quality using mathematical modeling (a systematic review)
Apstrakt
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 an...d 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.
Ključne reči:
Sensitivity analysis / Secondary raw materials / Mathematical modeling / Brick clayIzvor:
Ceramics International, 2018, 44, 2, 1269-1276Izdavač:
- Elsevier Sci Ltd, Oxford
Finansiranje / projekti:
- Razvoj i primena multifunkcionalnih materijala na bazi domaćih sirovina modernizacijom tradicionalnih tehnologija (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-45008)
- Osmotska dehidratacija hrane - energetski i ekološki aspekti održive proizvodnje (RS-MESTD-Technological Development (TD or TR)-31055)
- 0-3D nanostrukture za primenu u elektronici i obnovljivim izvorima energije: sinteza, karakterizacija i procesiranje (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-45007)
DOI: 10.1016/j.ceramint.2017.10.191
ISSN: 0272-8842
WoS: 000418211600004
Scopus: 2-s2.0-85032915998
Institucija/grupa
Institut za opštu i fizičku hemijuTY - JOUR AU - Vasić, Milica V. AU - Pezo, Lato AU - Zdravković, Jelena AU - Stanković, Slavka AU - Radojević, Zagorka PY - 2018 UR - https://riofh.iofh.bg.ac.rs/handle/123456789/620 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 UR - conv_695 ER -
@article{ author = "Vasić, Milica V. 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", url = "conv_695" }
Vasić, M. V., 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 conv_695
Vasić MV, 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 conv_695 .
Vasić, Milica V., 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 ., conv_695 .