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神经网络模型的构建和分析,用于模拟和预测铜炼中危险元素分配的关键环节
Yanchao Wang1, Zongguo Wen2, Huifang Li2
1Beijing Climate Change Management Center, Beijing 100089, China; State Key Laboratory of Iron and Steel Industry Environmental Protection, School of Environment, Tsinghua University, Beijing 100084, China.
Journal of hazardous materials
|June 1, 2025
概括
这项研究模拟了铜炼中的危险元素分布,揭示了爆炸体积和原材料成分作为关键因素. 优化操作可以改善危险元素管理和铜回收.
科学领域:
- 金工程 金工程 金工程
- 环境科学 环境科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 铜炼中的危险元素分布是复杂的,受非线性,时间滞后的操作变量的影响.
- 控制这些元素的精确机制仍然不太清楚.
研究的目的:
- 使用生产数据模拟危险元素分布.
- 为了澄清对危险元素分布的多因素影响.
- 为了确定实际生产中的监管模式.
主要方法:
- 基于实际铜炼生产数据的模拟.
- 运营变量的分析,包括原材料等级和生产条件.
主要成果:
- 炼和吹风机组对元素分布有很大的影响.
- 爆炸体积,氧气供应和原材料成分是主要影响因素.
- 和的分布比例可以分别波动高达50%和20%.
- 增加爆炸体积将30%的铜从渣回收到铜-硫相.
结论:
- 确定了影响危险元素分布的关键操作因素.
- 提供了优化铜炼过程的见解.
- 证明了改善危险元素综合管理和增强铜回收的潜力.
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