Abstract：After nearly 30 years of research and exploration,a new branch of metallurgy-metallurgical process engineering has formed a relatively complete theoretical system,providing an important theoretical basis for the overall optimization of metallurgical manufacturing processes. Different from micro-basic metallurgy and professional process metallurgy,metallurgical process engineering focuses on the study of the overall operation rules of metallurgical manufacturing processes,and is a macroscopic dynamic metallurgy. In order to systematically review the development process of the discipline and its research results,the development process of metallurgical process engineering is divided into four stages,including discipline germination,theoretical establishment,practical development and complete theoretical system,based on the timeline,and the landmark events of each stage are sorted out. Metallurgical process engineering has been successfully applied in many engineering practice cases and achieved ideal application results. For example,the theory of metallurgical process engineering has guided the design of the "new generation" recyclable steel manufacturing process of Shougang Jingtang Steel Company,the research of the green and intelligent collaborative theory of steel manufacturing process,the development of process connection matching technology,the construction of the quality and energy collaborative optimization deployment system of the whole process,and helped the low-carbon development and transformation of the steel industry. In addition to engineering applications,metallurgical process engineering is also fruitful in theoretical research. Six landmark works of the discipline have been published,nearly ten academic conferences have been carried out,dozens of National key research and development plan project and National Natural Science Foundation of China have been supported,and the majority of metallurgical colleges have listed them as core professional courses. At present,China′s iron and steel industry is in a critical period of transformation and upgrading and high-quality development,the development of metallurgical process engineering not only improves the metallurgical discipline system,but also guides the process optimization and design related work of iron and steel enterprises,leading a new direction for the green,intelligent and brand development of China′s iron and steel industry.
徐安军, 崔志峰. 冶金流程工程学研究及其发展[J]. 钢铁, 2023, 58(11): 2-9.
XU Anjun, CUI Zhifeng. Metallurgical process engineering research and development[J]. Iron and Steel, 2023, 58(11): 2-9.
[1] 殷瑞钰. 冶金流程工程学[M]. 北京:冶金工业出版社,2004.(YIN R Y. Metallurgical Process Engineering[M]. Beijing: Metallurgical Industry Press,2004.) [2] 殷瑞钰. 冶金工序功能的演进和钢厂结构的优化[J]. 金属学报,1993(7):51.(YIN R Y. Evolution of Metallurgical Process Functions and Optimization of Steel Plant Structure[J]. Acta Metallurgica Sinica,1993(7):51.) [3] 殷瑞钰. 关于钢铁企业的结构与钢铁工业的发展模式[J]. 中国工程科学,2001(6):24.(YIN R Y. The structure of steel industry and the mode of steel plants[J]. Strategic Study of CAE,2001(6):24.) [4] 殷瑞钰. 冶金流程工程学[M]. 2版. 北京:冶金工业出版社,2009. (YIN R Y. Metallurgical Process Engineering[M]. 2nd Edition. Beijing:Metallurgical Industry Press,2009.) [5] 殷瑞钰. 冶金流程集成理论与方法[M]. 北京:冶金工业出版社,2013.(YIN R Y. Theory and Method of Metallurgical Process Integration[M]. Beijing:Metallurgical Industry Press,2013.) [6] 殷瑞钰. “流”、流程网络与耗散结构:关于流程制造型制造流程物理系统的认识[J]. 中国科学:技术科学,2018,48(2):136.(YIN R Y. "Flow",flow network and dissipative structure:Understanding of the physical system of manufacturing process of process manufacturing type[J]. Scientia Sinica(Technologica),2018,48(2):136.) [7] 殷瑞钰. 冶金流程学[M]. 北京:冶金工业出版社,2023.(YIN R Y. Theory of Metallurgical Manufacturing Process[M]. Beijing:Metallurgical Industry Press,2023.) [8] 邓帅. 首钢京唐“全三脱”炼钢过程铁素物质流调控的应用基础研究[D]. 北京:北京科技大学,2020.(DENG S. Basic Study on the Regulation of Ferruginous Mass Flow in the De[S]-De[Si]/[P] Pretreatment of Shougang Jingtang′s Steelmaking Process[D]. Beijing:University of Science and Technology Beijing,2020.) [9] 赵长亮,田志红,彭国仲,等. 首钢京唐“全三脱”生产实践[C]//第十七届(2013年)全国炼钢学术会议论文集(A卷). 杭州:中国金属学会炼钢分会,2013:43.(ZHAO C L,TIAN Z H,PENG G Z,et al. The practice of less slag steelmaking in Shougang Jingtang[C]//Proceedings of the 17th (2013) National Steelmaking Academic Conference (Volume A). Hangzhou:Steelmaking Branch of the Chinese Society for Metals,2013:43.) [10] 赵长亮,田志红,彭国仲,等. 首钢京唐“全三脱”铁水少渣冶炼低氮钢生产实践[C]//第十八届(2014年)全国炼钢学术会议论文集. 西安:中国金属学会炼钢分会,2014:73.(ZHAO C L,TIAN Z H,PENG G Z,et al. The practice of low nitrogen steel in less slag steelmaking of Shougang Jingtang[C]//Proceedings of the 18th (2014) National Steelmaking Academic Conference. Xi’an:Steelmaking Branch of the Chinese Society for Metals,2014:73.) [11] 赵长亮,孙彦辉,袁天祥,等. 转炉预脱磷与“全三脱”铁水少渣冶炼技术[J]. 钢铁,2016,51(5):28.(ZHAO C L,SUN Y H,YUAN T X,et al. Dephosphorization pretreatment in LD converter and less-slag steelmaking process[J]. Iron and Steel,2016,51(5):28.) [12] 杨春政. 高效低成本洁净钢生产实践探索[J]. 钢铁,2021,56(8):20. (YANG C Z. Practice and exploration of clean steel production with high efficiency and low cost[J]. Iron and Steel,2021,56(8):20. ) [13] 蔡九菊. 关于冶金流程的能效与能耗问题及其计算方法[J]. 河北冶金,2023,330(6):1.(CAI J J. Discussion on concepts and calculation methods of energy efficiency and energy consumption of metallurgical processes[J]. Hebei Metallurgy,2023,330(6):1.) [14] 张福明,颉建新,殷瑞钰. 钢铁制造流程炼铁区段耗散结构的解析[J]. 钢铁,2022,57(3):1. (ZHANG F M,XIE J X,YIN R Y. Analysis on dissipative structure of ironmaking procedure for iron and steel manufacturing process[J]. Iron and Steel,2022,57(3):1. ) [15] WU S P,XU A J. An improved elitist GA-based solution for integrated batch planning problem in a steelmaking plant[J]. ISIJ International,2022,62(6):1227. [16] 李稷,徐安军. 炼钢车间多天车动态调度仿真方案[J]. 东北大学学报(自然科学版),2020,41(12):1699.(LI J,XU A J. Simulation-based solution for multi-crane dynamic scheduling in steelmaking shop[J]. Journal of Northeastern University(Natural Science),2020,41(12):1699.) [17] 林时敬,徐安军,刘成,等. 基于深度强化学习的炼钢车间天车调度方法[J]. 中国冶金,2021,31(3):37.(LIN S J,XU A J,LIU C,et al. Crane scheduling method in steelmaking workshop based on deep reinforcement learning[J]. China Metallurgy,2021,31(3):37.) [18] 谷茂强,徐安军,刘旋,等. 基于数据驱动的转炉二吹阶段钢水温度动态预测模型[J]. 工程科学学报,2022,44(9):1595.(GU M Q,XU A J,LIU X,et al. Dynamic,data-driven prediction model of molten steel temperature in the second blowing stage of a converter[J]. Chinese Journal of Engineering,2022,44(9):1595.) [19] 贺东风,黄涵锐. 基于聚类思想的转炉终点碳含量预测方法[J]. 冶金能源,2022,41(6):29.(HE D F,HUANG H R. Prediction method of end point carbon content of converter based on clustering idea[J]. Energy for Metallurgical Industry,2022,41(6):29.) [20] 胡正彪,贺东风. 钢铁制造流程物质流与能量流协同优化研究进展[J]. 钢铁,2021,56(8):61.(HU Z B,HE D F. Research progress of collaborative optimization for material flow and energy flow in steel manufacturing process[J]. Iron and Steel,2021,56(8):61.) [21] 郑忠,黄世鹏,龙建宇,等. 钢铁智能制造背景下物质流和能量流协同方法[J]. 工程科学学报,2017,39(1):115.(ZHENG Z,HUANG S P,LONG J Y,et al. Synergetic method between materials flow and energy flow in iron and steel intelligent manufacturing[J]. Chinese Journal of Engineering,2017,39(1):115.) [22] 魏绿坤,徐安军,潘俊. 基于Flexsim的炼钢-连铸区段流程仿真与优化分析[J]. 中国冶金,2023,33(4):56. (WEI L K,XU A J,PAN J. Simulation and optimization analysis of steelmaking and continuous casting process based on Flexsim[J]. China Metallurgy,2023,33(4):56. ) [23] 胡正彪,贺东风. 钢铁企业煤气-蒸汽-电力转换系统运行调度优化[C]//第十三届中国钢铁年会论文集(摘要). 北京:冶金工业出版社,2022:172.(HU Z B,HE D F. Optimization of operation scheduling of gas-steam-electric power conversion system in iron and steel enterprises[C]//Proceedings of the 13th China Iron and Steel Annual Meeting (Abstract). Beijing: Metallurgical Industry Press,2022:172.) [24] 孙彦广,梁青艳,李文兵,等. 基于能量流网络仿真的钢铁工业多能源介质优化调配[J]. 自动化学报,2017,43(6):1065.(SUN Y G,LIANG Q Y,LI W B,et al. Steel industry multi-type energy optimized scheduling with energy flow network simulation[J]. Acta Automatica Sinica,2017,43(6):1065.) [25] 李洪福,温燕明. 钢铁制造流程能源转换功能的开发与利用[J]. 中国冶金,2021,31(9):46. (LI H F,WEN Y M. Development and utilization of energy conversion function in iron and steel manufacturing process[J]. China Metallurgy,2021,31(9):46. ) [26] 李洪福. 钢铁制造流程系统节能理论与方法的探讨及应用实践[J]. 冶金能源,2020,39(2):8. (LI H F. Discussion and application of theory and methodof systematic energy saving in iron and steel manufacturing process[J]. Energy for Metallugical Industry,2020,39(2):8.) [27] 殷瑞钰. 论钢厂制造过程中能量流行为和能量流网络的构建[J]. 钢铁,2010,45(4):1.(YIN R Y. Comment on behavior of energy flow and construction of energy flow network for steel manufacturing process[J]. Iron and Steel,2010,45(4):1.) [28] 杜学强,周继程,上官方钦,等. 基于碳素流分析铁前系统CO2排放及减排措施[J]. 烧结球团,2022,47(1):24.(DU X Q,ZHOU J C,SHANGGUAN F Q,et al. CO2 emission and reduction measures of pre-iron system based on carbon flow analysis[J]. Sintering and Pelletizing,2022,47(1):24.) [29] 上官方钦,张春霞,郦秀萍,等. 关于钢铁行业CO2排放计算方法的探讨[J]. 钢铁研究学报,2010,22(11):1.(SHANGGUAN F Q,ZHANG C X,LI X P,et al. Discussion on the CO2 emission calculation methods in iron and steel industry[J]. Journal of Iron and Steel Research,2010,22(11):1.) [30] 上官方钦,张春霞,郦秀萍,等. 钢铁企业CO2排放计算方法及其应用探讨[C]//2011年全国冶金节能减排与低碳技术发展研讨会文集. 唐山:中国金属学会,2011:87.(SHANGGUAN F Q,ZHANG C X,LI X P,et al. Discussion on the CO2 emission calculation method and its application in the steel plants[C]//Proceedings of the 2011 National Metallurgical Energy Conservation,Emission Reduction and Low-Carbon Technology Development Seminar. Tangshan: The Chinese Society for Metals,2011:87.) [31] 上官方钦,张春霞,胡长庆,等. 中国钢铁工业的CO2排放估算[J]. 中国冶金,2010,20(5):37.(SHANGGUAN F Q,ZHANG C X,HU C Q,et al. Estimation of CO2 emission in chinese steel industry[J]. China Metallurgy,2010,20(5):37.) [32] 上官方钦,刘正东,殷瑞钰. 钢铁行业“碳达峰”“碳中和”实施路径研究[J]. 中国冶金,2021,31(9):15.(SHANGGUAN F Q,LIU Z D,YIN R Y. Study on implementation path of "carbon peak" and "carbon neutrality" in steel industry in China[J]. China Metallurgy,2021,31(9):15.) [33] YIN R Y. Metallurgical Process Engineering[M]. Beijing:Metallurgical Industry Press, Verlag Berlin Heidelberg:Springer,2011. [34] 殷瑞鈺. 冶金プロセス工学[M]. 日本:黑崎播磨株式会社,2012.(YIN R Y. Metallurgical Process Engineering[M]. Japan:Heizaki Broadcasting Co.,Ltd.,2012.) [35] YIN R Y. Theory and Method of Metallurgical Process Integration[M]. San Diego:Academic Press,Elsevier Inc., Beijing:Metallurgical Industry Press,2016. [36] 中国大百科全书总编辑委员会. 中国大百科全书 [M]. 3版(矿冶工程). 北京:中国大百科全书出版社,2021.(Editorial Board of Encyclopedia of China. Encyclopedia of China[M]. 3rd Edition(Mining and Metallurgy Engineering). Beijing:Encyclopedia of China Publishing House,2021.)
2023, Vol. 58 
