Abstract
The purpose of smelting is to enrich most of the copper in the copper concentrate in the matte phase. The gangue, oxides and impurity elements were combined in the slag phase to completely separate the copper matte in the slag phase. In this paper, a mathematical model based on the optimization of copper concentrate cost and the content of impurity elements in the mixed copper concentrate is constructed for the copper concentrate dosing calculation. The model is solved using a particle swarm optimization algorithm to obtain the mixed copper concentrate blending results. Melting prediction of the blending results is carried out by optimizing the neural network via the particle swarm optimization algorithm to realize production prediction from the copper concentrate blending to the melting results.
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This work was supported by the National Natural Science Foundation of China (51974142).
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Wang, G., Zhou, S., Li, B. et al. Copper Concentrate Blending and Melting Prediction Based on Particle Swarm Optimization Algorithm. JOM 75, 4350–4360 (2023). https://doi.org/10.1007/s11837-023-06016-w
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DOI: https://doi.org/10.1007/s11837-023-06016-w