Smart manufacturing of nonferrous metallurgical processes: Review and perspectives

被引：17
作者：
Sun, Bei [1 ,2 ]
Dai, Juntao [1 ]
Huang, Keke [1 ]
Yang, Chunhua [1 ]
Gui, Weihua [1 ]
机构：
[1] Cent South Univ, Sch Automat, Changsha 410083, Peoples R China
[2] Peng Cheng Lab, Shenzhen 518000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS | 2022年 / 29卷 / 04期
基金：
中国国家自然科学基金;
关键词：
nonferrous metallurgical industry; smart and optimal manufacturing; online perception; intelligent control; operational optimization; automation of knowledge-based work; MILL GRINDING CIRCUIT; ZINC ELECTROWINNING PROCESS; PARTICLE-SIZE DISTRIBUTION; MODEL-PREDICTIVE CONTROL; OPTIMAL-SETTING CONTROL; COPPER REMOVAL PROCESS; BALL MILL; DATA-DRIVEN; FLOTATION PROCESSES; SOFT MEASUREMENT;
D O I：
10.1007/s12613-022-2448-x
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：611 / 625
页数：15
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