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钢铁生产流程的物质流仿真研究
引用本文:吴双平,徐安军.钢铁生产流程的物质流仿真研究[J].钢铁,2021,56(8):73-85.
作者姓名:吴双平  徐安军
作者单位:北京科技大学冶金与生态工程学院,北京100083
基金项目:国家重点研发计划资助项目(2017YFB0304001)
摘    要: 在现代工业智能化发展的要求下,钢铁等工业流程的整体性研究越演越烈,物流仿真技术在工业流程研究中的应用也越来越广泛。目前,对于钢铁生产流程的物质流仿真研究方法还不普遍,研究者还未认识到物流仿真方法对流程整体性研究带来的实际益处。介绍了目前为止应用广泛的物流仿真工具,重点概述它们在钢铁生产流程上的相关应用,并从钢铁生产流程的设计与优化、问题分析与优化两个方面详细介绍了钢铁生产流程物质流仿真的研究思路。最后对物流仿真技术在钢铁生产流程研究中的应用提出了展望,指出了进一步研究要提高仿真模型的通用性、制定并完善钢铁生产流程的物质流仿真的相关评价指标、以及深入挖掘并推广钢铁生产流程的物质流仿真研究。

关 键 词:物质流  钢铁生产流程  仿真工具  优化  评价指标
收稿时间:2021-06-01

A review of mass flow simulation in steel production process
WU Shuang-ping,XU An-jun.A review of mass flow simulation in steel production process[J].Iron & Steel,2021,56(8):73-85.
Authors:WU Shuang-ping  XU An-jun
Affiliation:School of Metallurgy and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
Abstract:With the development of intelligentization in modern steel mills, the research on the whole process of steel production process is becoming more and more intense, and the application of logistics simulation technology in the research on industrial process is also becoming more and more extensive. At present, the mass flow simulation research methods for steel production process are not common, and researchers have not yet realized the practical benefits of simulation methods for the study of process integrity. The existing logistics simulation tools, mainly summarizes their related applications in steel manufacturing process, and introduces in detail the research ideas of steel production process mass flow simulation from two aspects of design-optimization and problem analysis-optimization were introduced. Finally, in view of the application of logistics simulation technology in the study of steel production process, the prospect was put forward, that for further research and breakthrough of simulation model, improve the generality, formulate and perfect the relevant evaluation indicators of the logistics simulation of steel production process, as well as the further exploit and promote the logistics simulation research of steel production process were pointed out.
Keywords:mass flow  steel production process  simulation tools  optimization  evaluation indicators  
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