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

• Autorzy: Savic M. V. , Djordjevic P. B. , Mihajlovic I. N. , Zivkovic Z. D.

Identyfikatory

DOI

10.1515/pjct-2015-0051

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

modeling; copper concentrate; smelting process; copper losses; slag; ANFIS

• Wydawca: West Pomeranian University of Technology. Publishing House
• Czasopismo: Polish Journal of Chemical Technology
• Rocznik: 2015
• Tom: Vol. 17, nr 3
• Strony: 62--69
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wykr., wz.

Twórcy

autor

Savic M. V.

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

autor

Djordjevic P. B.

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

autor

Mihajlovic I. N.

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

autor

Zivkovic Z. D.

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

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