Abstract
The prediction of phase configurations and the optimization of operating parameters in the metallurgical process are normally achieved by the multiphase equilibrium calculation (MEC), which is formulated as a constrained optimization problem based on the principle of Gibbs free energy minimization. A revised quantum-behaved particle swarm optimization (RQPSO) algorithm has been proposed to solve the optimization problem using three-part improved strategies. Based on the KIVCET smelting characteristics, a MEC model for the KIVCET process is established and solved using the RQPSO algorithm. The calculated and industrial data of the lead grade are 96.20% and 96.33%, respectively, those of the matte grade are 19.39% and 19.68%, and the mass fractions of Pb in the predicted and industrial matte are 3.96% and 3.34%, respectively. The calculated results of the phase configuration are consistent with the actual production data, which indicates that the MEC model and RQPSO algorithm are accurate and reliable.
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Acknowledgement
We would like to express our gratitude to Project supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No. 61621062).
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Li, J., Song, Y., Zhou, P. et al. A RQPSO Algorithm for Multiphase Equilibrium Calculation in the KIVCET Process. JOM 70, 2893–2899 (2018). https://doi.org/10.1007/s11837-018-3174-8
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DOI: https://doi.org/10.1007/s11837-018-3174-8