基于人工大猩猩部队优化算法的铜电解工艺优化
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作者单位:

三门峡市国投金城冶金有限责任公司, 河南 三门峡 472500

作者简介:

张烨(1985—),男,河南三门峡人,主要从事湿法冶金技术研究。

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中图分类号:

TQ153.14

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Optimization of Copper Electrolysis Process Based on Artificial Gorilla Troops Optimizer
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SDIC Jincheng Metallurgy Co., Ltd,Sanmenxia 472500 ,China

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    摘要:

    铜电解精炼过程中,电解液温度、电解液循环速度、添加剂用量、电流密度等参数是决定铜品质的关键工艺参数,然而这些参数的控制都根据人工经验来判断,缺乏一定的合理性。本文提出使用人工大猩猩部队优化算法来对电解精炼过程中的控制参数进行优化,以期获得最优的参数配比。实验表明,采用通过人工大猩猩部队优化算法得到的最优参数配比,阴极铜品质显著提高,且电能消耗降低了6.173%。基于人工大猩猩部队优化算法的铜电解工艺优化模型可以精准地对铜电解工艺因素进行调控,克服了人为经验控制的主观性和不能保证达到最优的缺点。

    Abstract:

    In the process of copper electrolytic refining, electrolyte temperature, electrolyte circulation speed, the amount of additives and current density are the key process parameters that determine the quality of copper. However, the control of these parameters is judged according to artificial experience, which lacks certain rationality. This paper proposed to use the artificial gorilla troops optimizer to optimize the control parameters in the copper electrolytic refining process in order to obtain the optimal parameter ratio. Experiments show that the quality of cathode copper is significantly improved and the power consumption is reduced by 6.173% by using the optimal parameters obtained by the artificial gorilla troops optimizer. The copper electrolysis process optimization model based on the artificial gorilla troops optimizer can accurately regulate the copper electrolysis process factors, and overcome the subjectivity of human experience control and the disadvantage of not being able to guarantee the optimal.

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张烨,南君芳,孙朋,等.基于人工大猩猩部队优化算法的铜电解工艺优化[J]. 绿色矿冶,2024,40(2):71-75,82.

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  • 收稿日期:2023-12-24
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  • 在线发布日期: 2025-11-16
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