<abstract xmlns="http://www.w3.org/1999/xhtml">This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfide concentrates smelting process. The aim of this study was to define the correlation dependence of the degree of copper losses in the silicate slag on the following parameters of technological processes: SiO2, FeO, Fe3O4, CaO and Al2O3 content in the slag and copper content in the matte. Multiple linear regression analysis (MLRA), artificial neural networks (ANNs) and adaptive network based fuzzy inference system (ANFIS) were used as tools for mathematical analysis of the indicated problem. The best correlation coefficient (R2 = 0.719) of the final model was obtained using the ANFIS modeling approach.</abstract>

This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfide concentrates smelting process. The aim of this study was to define the correlation dependence of the degree of copper losses in the silicate slag on the following parameters of technological processes: SiO2, FeO, Fe3O4, CaO and Al2O3 content in the slag and copper content in the matte. Multiple linear regression analysis (MLRA), artificial neural networks (ANNs) and adaptive network based fuzzy inference system (ANFIS) were used as tools for mathematical analysis of the indicated problem. The best correlation coefficient (R2 = 0.719) of the final model was obtained using the ANFIS modeling approach.

Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process

University of Belgrade, Technical Faculty in Bor Vojske Jugoslavije 12, 19210 Bor, Serbia

Polish Journal of Chemical Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfide concentrates smelting process. The aim of...

Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process

Online veröffentlicht: 19. Sept. 2015

Seitenbereich: 62 - 69

DOI: https://doi.org/10.1515/pjct-2015-0051

Schlüsselwörter
modeling, copper concentrate, smelting process, copper losses, slag, ANFIS

© Marija V. Savic et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process

Online veröffentlicht: 19. Sept. 2015

Seitenbereich: 62 - 69

DOI: https://doi.org/10.1515/pjct-2015-0051

Schlüsselwörtermodeling, copper concentrate, smelting process, copper losses, slag, ANFIS

© Marija V. Savic et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
modeling, copper concentrate, smelting process, copper losses, slag, ANFIS