Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process
Abstract
This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfi de concentrates smelting process. The aim of this study was to defi ne 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), artifi cial 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 coeffi cient (R2 = 0.719) of the fi nal model was obtained using the ANFIS modeling approach.
Keywords:
modeling / copper concentrate / smelting process / copper losses / slag / ANFISSource:
POLISH JOURNAL OF CHEMICAL TECHNOLOGY, 2015, 17, 3, 62-69Publisher:
- De Gruyter Open
Funding / projects:
- Developing technological processes for nonstandard copper concentrates processing with the aim to decrease pollutants emission (RS-MESTD-Technological Development (TD or TR)-34023)
Institution/Community
Mašinski fakultetTY - JOUR AU - Savić, Marija AU - Đorđević, Predrag AU - Mihajlović, Ivan AU - Živković, Živan PY - 2015 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5439 AB - This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfi de concentrates smelting process. The aim of this study was to defi ne 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), artifi cial 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 coeffi cient (R2 = 0.719) of the fi nal model was obtained using the ANFIS modeling approach. PB - De Gruyter Open T2 - POLISH JOURNAL OF CHEMICAL TECHNOLOGY T1 - Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process EP - 69 IS - 3 SP - 62 VL - 17 DO - 10.1515/pjct-2015-0051 ER -
@article{ author = "Savić, Marija and Đorđević, Predrag and Mihajlović, Ivan and Živković, Živan", year = "2015", abstract = "This article presents the results of the statistical modeling of copper losses in the silicate slag of the sulfi de concentrates smelting process. The aim of this study was to defi ne 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), artifi cial 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 coeffi cient (R2 = 0.719) of the fi nal model was obtained using the ANFIS modeling approach.", publisher = "De Gruyter Open", journal = "POLISH JOURNAL OF CHEMICAL TECHNOLOGY", title = "Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process", pages = "69-62", number = "3", volume = "17", doi = "10.1515/pjct-2015-0051" }
Savić, M., Đorđević, P., Mihajlović, I.,& Živković, Ž.. (2015). Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process. in POLISH JOURNAL OF CHEMICAL TECHNOLOGY De Gruyter Open., 17(3), 62-69. https://doi.org/10.1515/pjct-2015-0051
Savić M, Đorđević P, Mihajlović I, Živković Ž. Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process. in POLISH JOURNAL OF CHEMICAL TECHNOLOGY. 2015;17(3):62-69. doi:10.1515/pjct-2015-0051 .
Savić, Marija, Đorđević, Predrag, Mihajlović, Ivan, Živković, Živan, "Statistical modeling of copper losses in the silicate slag of the sulfide concentrate smelting process" in POLISH JOURNAL OF CHEMICAL TECHNOLOGY, 17, no. 3 (2015):62-69, https://doi.org/10.1515/pjct-2015-0051 . .