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Factor space differentiation of brick clays according to mineral content: Prediction of final brick product quality

Authorized Users Only
2015
Authors
Arsenović, Milica
Pezo, Lato
Stanković, Slavka
Radojević, Zagorka
Article (Published version)
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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 clay
Source:
Applied Clay Science, 2015, 115, 108-114
Publisher:
  • 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
[ Google Scholar ]
32
22
URI
http://rims.institutims.rs/handle/123456789/273
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
Institut za ispitivanje materijala
TY  - 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 . .

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