Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality
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 o...f 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).
Keywords:
Principal component analyses / Prediction of quality / Minerals content / Mathematical modeling / Brick claySource:
Applied Clay Science, 2015, 115, 108-114Publisher:
- Elsevier Science Bv, Amsterdam
Funding / projects:
- Development and application of multifunctional materials using domestic raw materials in upgraded processing lines (RS-45008)
- Osmotic dehydration of food - energy and ecological aspects of sustainable production (RS-31055)
DOI: 10.1016/j.clay.2015.07.030
ISSN: 0169-1317
WoS: 000361577200013
Scopus: 2-s2.0-84938277198
Collections
Institution/Community
Institut za ispitivanje materijalaTY - 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 . .