Jian-ping Yan, Qing Liu, Wei-da Guo, and Jun-guo Zhang, Quantitative evaluation of multi-process collaborative operation in steelmaking-continuous casting section, Int. J. Miner. Metall. Mater. https://doi.org/10.1007/s12613-020-2227-5
Cite this article as:
Jian-ping Yan, Qing Liu, Wei-da Guo, and Jun-guo Zhang, Quantitative evaluation of multi-process collaborative operation in steelmaking-continuous casting section, Int. J. Miner. Metall. Mater. https://doi.org/10.1007/s12613-020-2227-5
Research Article

Quantitative evaluation of multi-process collaborative operation in steelmaking-continuous casting section

+ Author Affiliations
  • Received: 18 August 2020Revised: 16 November 2020Accepted: 18 November 2020Available online: 26 November 2020
  • The quantitative evaluation of multi-process collaborative operation is of great significance for the improvement of production planning and scheduling in steelmaking-continuous casting section (SCCS). Meanwhile, this evaluation is indeed difficult since it relies on an in-depth understanding of the operating mechanism of SCCS, and few existing methods can be used to conduct the evaluation due to lacking of full-scale consideration on multi-factor related to production operation. In this study, three quantitative models were developed, and evaluated the multi-process collaborative operation level through the laminar flow operation degree, the process matching degree and the scheduling strategy available degree, respectively. By using the evaluation models for the laminar flow operation and process matching levels, the production status of two steelmaking plants of A and B was investigated based on actual production data. The results indicate the average laminar flow operation (process matching) degrees of SCCS are 0.638 (0.610) and 1.000 (0.759) for Plants A and B in the period from April to July 2019. Then, a scheduling strategy based on the optimization of furnace-caster coordinating mode was suggested for Plant A. Simulation experiments showed its higher availability than the greedy-based and manual ones. After applying it, the average process matching degree of SCCS of Plant A increases by 4.6% in the period from September to November 2019. Its multi-process collaborative operation level has been improved with less adjustments and interrupts in casting.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Share Article

    Article Metrics

    Article views (400) PDF downloads(17) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return