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基于响应曲面法优化氧化锌还原过程的研究

何昶浩 陈为亮 金诗尧 杨长江 李云 闵小波 曾平生

中南大学学报(自然科学版)2025,Vol.56Issue(1):11-18,8.
中南大学学报(自然科学版)2025,Vol.56Issue(1):11-18,8.DOI:10.11817/j.issn.1672-7207.2025.01.002

基于响应曲面法优化氧化锌还原过程的研究

Optimization of zinc oxide reduction by response surface methodology

何昶浩 1陈为亮 1金诗尧 1杨长江 2李云 3闵小波 3曾平生4

作者信息

  • 1. 昆明理工大学真空冶金国家工程研究中心,云南 昆明,650093||昆明理工大学冶金与能源工程学院,云南 昆明,650093
  • 2. 昆明理工大学冶金与能源工程学院,云南 昆明,650093
  • 3. 中南大学冶金与环境学院,湖南 长沙,410083
  • 4. 深圳市中金岭南有色金属股份有限公司韶关冶炼厂,广东 韶关,512024
  • 折叠

摘要

Abstract

Lead-zinc sinter was used as material and the effect of interaction between various factors on zinc oxide reduction process was studied by response surface methodology.Firstly,three process parameters of reduction temperature,reduction time and carbon addition amount were regarded as independent variables,and zinc reduction ratio was regarded as dependent variables.Optimization scheme with 3 factors and 5 levels was designed by response surface methodology based on central composite design.Secondly,optimized results were fitted,and regression model of znic oxide reduction was obtained.Finally,zinc reduction process was optimized by regression model.The results show that regression model is highly accurate,and zinc reduction ratio is influenced by reduction temperature and reduction time significantly.Under the optimized conditions of reduction temperature of 1 422 K,reduction time of 18.7 min,and 2.94 times of stoichiometric carbon,the predicted value of zinc reduction ratio is 94.13%,the experimental value is 94.36%,and the relative error of them is 0.24%.The optimization scheme is accurate and reliable,and the purpose of optimizing the process is achieved.

关键词

氧化锌/还原/响应曲面法/优化

Key words

zinc oxide/reduction/response surface methodology/optimization

分类

矿业与冶金

引用本文复制引用

何昶浩,陈为亮,金诗尧,杨长江,李云,闵小波,曾平生..基于响应曲面法优化氧化锌还原过程的研究[J].中南大学学报(自然科学版),2025,56(1):11-18,8.

基金项目

国家重点研发计划项目(2022YFC3901603) (2022YFC3901603)

国家自然科学基金资助项目(52104356)(Project(2022YFC3901603)supported by National Key Research and Development Program of China (52104356)

Project(52104356)supported by the National Natural Science Foundation of China) (52104356)

中南大学学报(自然科学版)

OA北大核心

1672-7207

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