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Data Analysis and Prediction Model for Copper Matte Smelting Process

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Metallurgical and Materials Transactions B Aims and scope Submit manuscript

Abstract

During copper matte smelting, a lag exists in the analysis of the smelting results, leading to the production parameters not being effectively adjusted in time. As the first smelting process in copper pyrometallurgy, the optimization of the amount of raw material, as well as the prediction and adjustment of slag and matte phases, has become an extremely important step. To address this issue, this study analyzed copper smelting parameters, such as the copper content in the slag, matte grade, slag ratio, and Fe/SiO2 ratio. The Bayesian optimization support vector regression (BO-SVR) model was used to predict the copper content in the slag and matte grade by combining plant production data with machine learning. The data features of the relevant copper smelting parameters were extracted using the BO-SVR model, and the data were fitted to obtain the interaction relationship functions between the variables. The relationships between several variables in the copper smelting process were interpreted in combination with a theoretical analysis and applied in practice. The results showed that the model’s prediction of melting results resolves the issues of lagging and adjustment of the smelting process. The model can provide insights for the analysis and adjustment of critical parameters in the smelting process and promote the development of intelligent analysis and control of copper matte smelting.

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Acknowledgments

This work was supported by the Yunnan Province’s “Xingdian Talent Support Plan” for young talents (KKRD202252076), National Natural Science Foundation of China (51974142).

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Authors and Affiliations

  1. State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming, 650093, P. R. China

    Guangbiao Wang, Shiwei Zhou, Bo Li, Yonggang Wei & Hua Wang

  2. Faculty of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming, 650093, P. R. China

    Guangbiao Wang, Yingbao Yang, Shiwei Zhou, Bo Li, Yonggang Wei & Hua Wang

  3. Yimen Copper Co, LTD, Yuxi, 651100, P. R. China

    Yingbao Yang

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  1. Guangbiao Wang
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  2. Yingbao Yang
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  5. Yonggang Wei
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Correspondence to Shiwei Zhou.

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Guangbiao Wang, Yingbao Yang, Shiwei Zhou, Bo Li, Yonggang Wei, and Hua Wang declare that they have no conflict of interest or financial conflicts to disclose.

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Wang, G., Yang, Y., Zhou, S. et al. Data Analysis and Prediction Model for Copper Matte Smelting Process. Metall Mater Trans B (2024). https://doi.org/10.1007/s11663-024-03115-0

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