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Volume 29 Issue 4
Apr.  2022
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文章导航 >  矿物冶金与材料学报（英文）  > 2022  >  29(4): 611-625
Bei Sun, Juntao Dai, Keke Huang, Chunhua Yang, and Weihua Gui, Smart manufacturing of nonferrous metallurgical processes: Review and perspectives, Int. J. Miner. Metall. Mater., 29(2022), No. 4, pp. 611-625. https://doi.org/10.1007/s12613-022-2448-x
Cite this article as:
Bei Sun, Juntao Dai, Keke Huang, Chunhua Yang, and Weihua Gui, Smart manufacturing of nonferrous metallurgical processes: Review and perspectives, Int. J. Miner. Metall. Mater., 29(2022), No. 4, pp. 611-625. https://doi.org/10.1007/s12613-022-2448-x
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特约综述

有色冶金过程智能制造：综述与展望

  • 1)

    中南大学自动化学院, 长沙 410083, 中国

  • 2)

    鹏城实验室, 深圳 518000, 中国

  • 通讯作者:

    黄科科    E-mail: huangkeke@csu.edu.cn

    桂卫华    E-mail: gwh@csu.edu.cn

文章亮点

  • (1) 介绍了有色冶金建模、过程监测、优化、控制等方面的研究进展。
  • (2) 阐述了有色冶金行业智能优化制造的前景。
  • (3) 分析了有色冶金智能优化制造需应对的挑战。
  • 有色冶金工业是一个国家经济的基石产业。随着人工技术的发展，对环境保护、产品质量、生产效率的要求越来越高，应用智能制造技术全面感知生产状态、智能优化工艺操作的重要性正得到业界的广泛认可。本文首先对有色冶金行业的智能优化制造进行了简要的总结，综述了有色冶金过程运行优化关键技术的研究进展，包括生产管理、配料优化、建模、过程监控、优化和控制。然后，阐述了有色冶金行业智能优化制造的前景。最后，讨论了有色冶金行业在智能优化制造方面潜在的主要研究方向和挑战。
    • Invited Review

    Smart manufacturing of nonferrous metallurgical processes: Review and perspectives

    + Author Affiliations
      Abstract
    • The nonferrous metallurgical (NFM) industry is a cornerstone industry for a nation’s economy. With the development of artificial technologies and high requirements on environment protection, product quality, and production efficiency, the importance of applying smart manufacturing technologies to comprehensively percept production states and intelligently optimize process operations is becoming widely recognized by the industry. As a brief summary of the smart and optimal manufacturing of the NFM industry, this paper first reviews the research progress on some key facets of the operational optimization of NFM processes, including production and management, blending optimization, modeling, process monitoring, optimization, and control. Then, it illustrates the perspectives of smart and optimal manufacturing of the NFM industry. Finally, it discusses the major research directions and challenges of smart and optimal manufacturing for the NFM industry. This paper will lay a foundation for the realization of smart and optimal manufacturing in nonferrous metallurgy in the future.
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