|
|
A review of mass flow simulation in steel production process |
WU Shuang-ping, XU An-jun |
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.
|
Received: 01 June 2021
Published: 12 August 2021
|
|
|
|
[1] 张建良,周芸,徐润生,等. 中国制造2025:推进钢铁企业智慧化[J]. 中国冶金, 2016, 26(2): 1.(ZHANG Jian-liang, ZHOU Yun, XU Run-sheng, et al. China manufacturing 2025: Promote the intelligence of steel company[J]. China Metallurgical, 2016, 26(2): 1.) [2] 殷瑞钰. 关于智能化钢厂的讨论——从物理系统一侧出发讨论钢厂智能化[J]. 钢铁, 2017, 52(6): 1.(YIN Rui-yu. A discussion on “smart” steel plant—View from physical system side[J]. Iron and Steel,2017, 52(6): 1.) [3] 殷瑞钰. 冶金流程工程学[M]. 北京: 冶金工业出版社, 2009. (YIN Rui-yu. Metallurgical Process Engineering[M]. Beijing: Metallurgical Industry Press, 2009.) [4] Pawel P, Patrycja H D, Paulina G D, et al. Flexsim in Academe: Teching and Research[M]. Poland:Springer Publishing Company, 2019. [5] Bangsow S. Tecnomatix Plant Simulation Modeling and Programming by Means of Examples[M]. Germany:Springer Publishing Company, 2020. [6] FANG S L. System Modeling and Simulation with Witness[M]. Hangzhou: Zhejiang University Press, 2007. [7] Kelton W D,Sadowski R P, Swets N B. Simulation with Arena[M]. America:McGrww-Hill Higher Education, 2009. [8] Jeffrey S. Discrete Event Simulation Using Extendsim[M]. America:Lulu Enterprise Inc, 2011. [9] 韩伟刚,胡长庆,郦秀萍,等. 炼铁-炼钢区段界面动态运行过程建模和仿真[J]. 中国冶金, 2019, 29(7): 17.(HAN Wei-gang, HU Chang-qing, LI Xiu-ping, et al. Modeling and simulation of dynamic operation process of ironmaking-steelmaking interface[J]. China Metallurgical, 2019, 29(7):17.) [10] WU S P, XU A J, SONG W, et al. Structural optimization of the production process in steel plants based on flexsim simulation[J]. Steel Res Int, 2019, 90(10): 1900201. [11] 徐林伟,何洪,孙丹. 钢轧生产线物流仿真建模研究[J]. 冶金经济与管理,2018(4): 28.(XU Lin-wei, HE Hong, SUN Dan. Research on logistics simulation modeling of steel rolling production line[J]. Metallurgical Economy and Management, 2018(4): 28.) [12] 韩伟刚. 高炉-转炉区段“一罐到底”模式运行优化和仿真研究[D]. 北京: 钢铁研究总院, 2016.(HAN Wei-gang. Study on Operation Optimization and Simulation of “One Ladle Process” Model in BF-BOF Section[D]. Beijing: Central Iron and Steel Research Institute, 2016.) [13] 朱小蓉. 基于Flexsim的钢材仓储系统出入库仿真与优化[D]. 成都: 西南交通大学, 2012.(ZHU Xiao-rong. Simulation and Optimization of Steel Warehousing System based on Flexsim[D]. Chengdu: Southwest Jiaotong University,2012.) [14] 曾亮,王珊珊,叶理德. 基于Flexsim的炼钢连铸工程物流仿真系统关键技术研究[J]. 武汉工业学院学报,2011,30(1):55.(ZENG Liang, WANG Shan-shan,YE Li-de. Research on key technologies of simulation for logistics in steelmaking and continuous casting based on Flexsim[J].Journal of Wuhan Polytechnic University, 2011,30(1):55.) [15] 俞胜平,吕瑞霞,庞新富,等. 基于虚拟现实的炼钢连铸调度仿真系统[J].中南大学学报(自然科学版), 2009, 40(增刊1):277.(YU Sheng-ping, LÜ Rui-xia, PANG Xin-fu, et al. Simulation system of scheduling for steelmaking and continuous casting based on virtual reality[J]. Journal of Central South University (Nature Science), 2009, 40(s1): 277.) [16] 王建青,邵延君,刘永姜. 基于Flexsim的炼镁生产线仿真与优化[J]. 工业工程, 2009, 12(2): 78.(WANG Jian-qing, SHAO Yan-jun, LIU Yong-jiang. Simulation and optimization of magnesium smelting process based on Flexsim[J]. Industrial Engineering Journal,2009, 12(2): 78.) [17] 赵道致,蒋宁. Flexsim在冶金物流企业流程重组中的应用研究[J]. 西安电子科技大学学报(社会科学版),2007, 17(5): 1.(ZHAO Dao-zhi, JIANG Ning. Business process reengineering mode based on Flexsim in metallurgy logistics corporation[J]. Journal of Xidian University(Social Science), 2007, 17(5): 1.) [18] 张鲲,高小强,郑忠,等. 炼钢物流仿真系统的设计与开发[J]. 重庆大学学报(自然科学版),2003, 26(12): 43.(ZHANG Kun, GAO Xiao-qiang, ZHENG Zhong, et al. Design of simulation system for logistics in steelmaking process[J]. Journal of Chongqing University(Natural Science),2003, 26(12):43.) [19] 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 Shuai. 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.) [20] DENG S, XU A J, WANG H B. Simulation study on steel plant capacity and equipment efficiency based on plant simulation[J]. Steel Research International, 2019, 90(5):1800507. [21] YANG J P, ZHANG J S, GUAN M, et al. Fine description of multi-process operation behavior in steelmaking-continuous casting process by a simulation model with crane non-collision constraint[J]. Metals,2019, 9, 1078. [22] 卢绍文,罗小川. “起重机+过跨车”铁水物流多场景仿真[J]. 系统仿真学报,2017, 29(10): 2549.(LU Shao-wen, LUO Xiao-chuan. Design of multi-scenario simulation of molten iron logistics system with cranes and cross-train AGVs[J]. Journal of System Simulation,2017, 29(10): 2549.) [23] 王学阳,徐安军,贺东风,等. 基于Plant Simulation的炼铁厂物流仿真优化[J]. 钢铁研究, 2017, 45(1): 17.(WANG Xue-yang, XU An-jun, HE Dong-feng, et al. Simulation optimization of logistics for iron-making plant based on plant simulation[J]. Iron and Steel Research,2017, 45(1): 17.) [24] 郭豪,李传民,张琼,等. 基于EM-plant的铁水运输调度系统建模与仿真[J]. 钢铁研究, 2016, 44(2): 14.(GUO Hao, LI Chuan-min, ZHANG Qiong, et al. Modeling and simulation for hot metal transportation and scheduling system on EM-plant[J]. Iron and Steel Research, 2016, 44(2): 14.) [25] 王明葆. 钢铁企业板坯库作业仿真模型研究[J]. 物流科技,2015, 38(6): 113.(WANG Ming-bao. Study on the simulation model of slab warehouse operation in iron and steel enterprises[J]. Logistics Science Technology, 2015, 38(6):113.) [26] 单多,徐安军,汪红兵,等. 基于eM-Plant的加热炉群调度的仿真与优化[J]. 冶金自动化, 2013, 37(2): 9.(SHAN Duo, XU An-jun, WANG Hong-bing, et al. Research on reheating furnaces scheduling simulation and optimization based on eM-Plant[J]. Metallurgical Industry Automation,2013, 37(2):9.) [27] 赵宁,杜彦华,董绍华,等. 基于循环仿真的钢铁板坯库天车作业优化[J]. 系统工程理论与实践, 2012, 32(12): 2825.(ZHAO Ning, DU Yan-hua, DONG Shao-hua, et al. Optimization of crane scheduling in slab yard based on cycle simulation[J]. System Engineering Theory and Practice, 2012, 32(12): 2825.) [28] 何腊梅,胡燕. 物流仿真分析在炼钢厂规划布置中的应用[J]. 钢铁技术, 2010(4): 17.(HE La-mei, HU Yan. Application of logistics simulation analysis in planning and arrangement of steel works[J]. Iron and Steel Technology,2010(4): 17.) [29] 祁明明,王力,袁超,等. 基于eM-Plant的铁水铁路运输物流系统建模与仿真[J]. 钢铁技术, 2010(2): 28.(QI Ming-ming, WANG Li, YUAN Chao, et al. Modeling and simulation of iron-water railway transportation logistics system based on eM-Plant[J]. Iron and Steel Technology, 2010(2): 28.) [30] 张启忠. 基于EM-Plant可重入钢管生产线的仿真与调度[D]. 重庆:重庆大学, 2009.(ZHANG Qi-zhong. Simulation and Scheduling of Re-entrant Steel Pipes Product Lines Based on EM-Plant [D]. Chongqing: Chongqing University,2009.) [31] 朱本飞. 钢铁物流园区仿真建模方法研究[D]. 武汉:武汉理工大学, 2012.(ZHU Ben-fei. The Research of Simulation Modeling Methods of Steel Logistics Park[D]. Wuhan: Wuhan University of Technology, 2012.) [32] 冯婷,张文新,涂雪平,等. 基于Witness的炼钢-连铸动态调度仿真[J]. 计算机工程与设计, 2012, 33(1): 381.(FENG Ting, ZHANG Wen-xin, TU Xue-ping, et al. Simulation of dynamic scheduling for steelmaking and continuous casting based on witness[J]. Computer Engineering and Design, 2012, 33(1): 381.) [33] 冯腾飞. 基于witness的炼钢-精炼-连铸生产过程仿真与优化系统[D]. 沈阳:东北大学, 2010.(FENG Teng-fei. Witness based Simulation and Optimization System for Steelmaking-Refining-Continuous Casting Production[D]. Shenyang: Northeastern University, 2010.) [34] 高洋. 炼钢-精炼-连铸生产调度与过程监控系统[D]. 沈阳:东北大学, 2009.(GAO Yang. Scheduling and Process Monitoring System of Steelmaking-Refining-Continuous Casting Production[D]. Shenyang: Northeastern University,2009.) [35] 王新云. 基于Petri网的钢铁企业生产物流优化[D]. 武汉:武汉科技大学, 2009.(WANG Xin-yun. Iron and Steel Enterprise Production Logistics Optimization Based on Petri Nets[D]. Wuhan: Wuhan University of Science and Technology, 2009.) [36] 伍锦群,曾东波. 基于Arena的钢铁原材料采购库存优化仿真[J]. 科技传播, 2016, 8(10): 165.(WU Jin-qun, ZENG Dong-bo. Simulation of purchasing inventory optimization of steel raw materials based on Arena[J]. Public Communication of Science Technology, 2016, 8(10): 165.) [37] 陈雅. 钢铁企业生产流程的Arena仿真与优化[D]. 成都:成都理工大学, 2013.(CHEN Ya. Simulation and Optimization Research on the Steel Production Based on Arena[D]. Chengdu: Chengdu University of Technology, 2013.) [38] 陈雅,李志刚. 基于Arena仿真技术在钢铁生产流程中的应用研究[J]. 科技资讯, 2012(36): 100.(CHEN Ya, LI Zhi-gang. Research on the application of Arena simulation in steel production process[J]. Science and Technology Information,2012(36): 100.) [39] 贺克. 基于仿真的钢管企业生产物流系统优化研究[D]. 重庆:重庆大学, 2010.(HE Ke. Study on Simulation and Optimization for Steel Pipe Manufacturer Production Logistics System[D]. Chongqing: Chongqing University, 2010.) [40] 张可,徐彬,丁传勇. 基于Petri网的钢铁企业原料供应物流优化[J]. 物流技术,2008, 27(7): 94.(ZHANG Ke, XU Bin, DING Chuan-yong. Optimization of raw materials supply logistics of iron/steel enterprises based on Petri network[J]. Logistics Technology,2008, 27(7): 94.) [41] 游潇. 基于Extendsim的炼钢-连铸调度建模与优化[D]. 重庆:重庆大学, 2017.(YOU Xiao. Study on Extendsim-based Modeling and Optimization Methods for Steelmaking-Continuous Casting Scheduling[D]. Chongqing: Chongqing University, 2017.) [42] 赵业清. 基于时间影响网络的铁水运输系统时间Petri网建模[J]. 冶金自动化,2015, 39(2): 35.(ZHAO Ye-qing. Modeling of molten iron transportation system in the steel enterprise based on time influence net and time Petri net[J]. Metallurgical Industry Automation,2015, 39(2): 35.) [43] 史永涛. 钢铁生产新流程中的车间铁水转运调度仿真研究[D]. 重庆:重庆大学, 2011.(SHI Yong-tao. Study on Simulation Model of Workshop Scheduling for Transportation of Molten Iron in New Steel Manufacturing Process[D]. Chongqing: Chongqing University, 2011.) [44] 李东. 基于EXTEND仿真的炼钢生产物流优化研究[D]. 重庆:重庆大学, 2009.(LI Dong. Study on Optimization for Steel-making Logistics Based on EXTEND Simulation[D]. Chongqing: Chongqing University, 2009) [45] 赵业清,毕贵红,朱道飞. 基于Petri网的钢铁生产复杂物流系统建模[J]. 冶金自动化,2012, 36(6): 48.(ZHAO Ye-qing, BI Gui-hong, ZHU Dao-fei. Modeling of steel production complex logistics system based on Petri nets[J]. Metallurgical Industry Automation,2012, 36(6): 48.) [46] 郑友妍. 基于AnyLogic的钢铁企业铁路运输系统仿真优化研究[D]. 北京:北京交通大学, 2009.(ZHENG You-yan. Research on Simulation Optimization System of Iron and Steel Enterprise Rail Transportation Based on Anylogic[D]. Beijing: Beijing Jiaotong University, 2009.) [47] 刘长鑫,谢志辉,孙丰瑞. 钢铁生产流程铁素流网络建模与仿真[J]. 钢铁研究. 2017, 45(6): 102.(LIU Chang-xin, XIE Zhi-hui, SUN Feng-rui. Modeling and simulation for iron-flow network of iron and steel production processes[J]. Iron and Steel Research. 2017, 45(6): 102.) [48] 赵业清. 钢铁生产流程的系统动力学建模与动态仿真[D]. 昆明:昆明理工大学, 2008.(ZHAO Ye-qing. System dynamics modeling and dynamic simulation of steel production process[D]. Kunming: Kunming University of Science And Technology, 2008.) [49] 于水. 基于Petri网的钢铁生产系统的物流建模[D]. 天津:天津理工大学, 2013.(YU Shui. Modeling and Simulation of Petri Net in Iron-making System[D]. Tianjin: Tianjin University of Technology, 2013.) [50] 施灿涛,李铁克,张鸿. 基于RSView SE的炼钢-连铸过程监控仿真系统[J]. 中国管理信息化. 2010, 13(20): 24.(SHI Chan-tao, LI Tie-ke, ZHANG Hong. Monitoring and simulation system of steelmaking-continuous casting process based on RSView SE[J]. China Management Informationization. 2010, 13(20): 24.) [51] 毛海军,郭洪涛,马成林,等. 基于Automod仿真平台的钢材物流中心建模分析[J]. 东南大学学报(自然科学版), 2008, 38(2): 314.(MAO Hai-jun, GUO Hong-tao, MA Cheng-lin, et al. Modeling and analysis of steel logistics center based Automod simulation platform[J]. Journal of Southeast University (Natural Science),2008, 38(2): 314.) [52] 曲蓉霞,刘兴刚,许美蓉,等. 基于MATRIXx的冷连轧仿真模型库系统[J]. 东北大学学报(自然科学版),2007, 28(7): 937.(QU Rong-xia, LIU Xing-gang, XU Mei-rong, et al. MATRIXx-based simulation model base for continuous cold rolling process[J]. Journal of Northeastern University(Natural Science),2007, 28(7): 937.) [53] 李鹰翚. 炼钢-连铸-热轧多工序物流平衡仿真验证研究[D]. 沈阳:东北大学, 2014.(LI Ying-hui. The Simulation Verification Research on Multi-process Logistics Balance of Steelmaking-Contimious Casting-Hot Rolling[D]. Shenyang: Northeastern University, 2014.) [54] 鞠胜涛. 炼钢-连铸-热轧生产过程仿真系统可视化建模方法[D]. 沈阳:东北大学, 2014.(JU Sheng-tao. The Visual Modeling Method of Simulation System of Steelmaking-Continuous Casting-Hot Rolling Production Processes[D]. Shenyang: Northeastern University, 2014.) [55] 杜雪飞,彭燕华,郭盛荣,等. 热连轧流程控制仿真平台[J]. 轧钢, 2013, 30(2): 52.(DU Xue-fei, PENG Yan-hua, GUO Sheng-rong, et al. Physical simulation and virtual reality platform of flow control system for hot rolling[J]. Steel Rolling, 2013, 30(2): 52.) [56] 于港,田乃媛,徐安军,等. 唐钢二钢轧厂生产流程的计算机仿真[J]. 冶金自动化, 2008, 32(4): 15.(YU Gang, TIAN Nai-yuan, XU An-jun, et al. Computer-aided simulation of production process in the Second Steelmaking and Rolling Plant of Tangsteel[J]. Metall Ind Autom, 2008, 32(4): 15) [57] 李文兵,毕英杰,纪扬,等. 基于生产流程的炼钢-连铸-热轧仿真系统[J]. 冶金自动化,2005, 29(3): 37.(LI Wen-bing, BI Ying-jie, JI Yang, et al. Production process based steelmaking, continuous casting and hot rolling simulation system[J]. Metallurgical Industry Automation,2005, 29(3): 37.) [58] 李云,高小强,郑忠,等. 运用ActiveX技术开发炼钢物流可视化仿真平台[J]. 计算机应用研究, 2005, 22(5): 181.(LI Yun, GAO Xiao-qiang, ZHENG Zhong, et al. Visual simulation system for logistics in steelmaking process[J]. Application Research of Computers,2005, 22(5): 181.) [59] Jaffrey V, Mohamed N M Z N, Rose A N M. Improvement of productivity in low volume production industry layout by using witness simulation software[C]//IOP Conference Series Materials Science and Engineering. Kuantan: [s.n.], 2017:12030. [60] Erol G, Hatim G. Flexsim: A flexible manufacturing system simulator[J]. European Journal of Operation Research,1991, 53(2):149. [61] XIAO N, NI C D, GUO S J. Modelling and simulation for production logistics system in industrial enterprises based on hybrid network[J]. International Journal of Simulation Modelling,2017, 1: 157. [62] 龚云飞. 基于Petri网钢铁企业铁水运输调度建模与分析[D]. 天津:天津大学, 2016.(GONG Yun-fei. Modeling and Analysis of Iron Molten Transport Scheduling of Steel Enterprise Based on Petri Net[D]. Tianjin: Tianjin University,2016.) [63] WANG Y R, CHEN A N. Production logistics simulation and optimization of industrial enterprise based on flexsim[J]. International Journal of Simulation Modelling, 2016(4):732. [64] ZHAO J Y, WANG Y J, XI X, et al. Simulation of steel production logistics system based on multi-agents[J]. International Journal of Simulation Modelling, 2017(1): 167. |
[1] |
PENG Gong-zhuang, CHENG Yin-liang, LIANG Yue-yong, HE An-rui. Collaborative scheduling of vehicles and unmanned cranes in a cold-rolled steel product warehouse[J]. Iron and Steel, 2021, 56(9): 36-42. |
[2] |
QIAN Sheng, ZHANG Wen-jun, LIN Wei, GU Qing, BAI Zhen-hua. Formation mechanism and prediction model for C-warping defect of strip steel in continuous annealing process of hot galvalume unit[J]. Iron and Steel, 2021, 56(9): 88-95. |
[3] |
SONG Jun, REN Ting-zhi, WEI Zhen, LIU Bao-quan, WANG Kui-yue, SONG Bao-yu. Optimal control of work roll shifting in tandem cold rolling mill based on multi-objective optimization[J]. Iron and Steel, 2021, 56(9): 102-109. |
[4] |
ZHANG Qi, CAI Jiu-ju. Systemic energy saving and energy efficiency improving of iron and steelmaking process[J]. Iron and Steel, 2021, 56(8): 32-42. |
[5] |
FENG Yu-wei, HAN Wei-gang, ZHANG Yu-zhu, HU Chang-qing, LONG Yue. Quantity allocation optimization of hot metal ladles in ironmaking-steelmaking interface based on Flexsim[J]. Iron and Steel, 2021, 56(8): 113-118. |
[6] |
HU Zheng-biao, HE Dong-feng. Research progress of collaborative optimization for material flow and energy flow in steel manufacturing process[J]. Iron and Steel, 2021, 56(8): 61-72. |
|
|
|
|