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

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 technolo...

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Bibliographic Details
Published inPolish journal of chemical technology Vol. 17; no. 3; pp. 62 - 69
Main Authors Savic, Marija V., Djordjevic, Predrag B., Mihajlovic, Ivan N., Zivkovic, Zivan D.
Format Journal Article
LanguageEnglish
Published Szczecin De Gruyter Open 01.09.2015
De Gruyter Poland
Sciendo
Subjects
ANFIS
copper concentrate
copper losses
modeling
slag
smelting process
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Summary: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: SiO , FeO, Fe , CaO and Al 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 (R = 0.719) of the final model was obtained using the ANFIS modeling approach.
ISSN:1899-4741
1509-8117
1899-4741
DOI:10.1515/pjct-2015-0051