Analysis of KR process time event and fast-paced operation
LIN Lu1, ZENG Jiaqing1, ZHANG Junguo2, DUAN Yunxiang2, HE Qing1, CUI Huaizhou1, DAI Yuxiang1
1. Metallurgical Technology Institute, Central Iron and Steel Research Institute Co., Ltd., Beijing 100081, China; 2. Tangsteel Company, HBIS Group, Tangshan 063000, Hebei, China
Abstract：In order to accelerate and stabilize the operation rhythm of KR process, to meet the "one-to-one" special line production requirements of steelmaking section matching with the fast rhythm of converter, aiming at the problems of long and fluctuating operation cycle of KR(Kambara Reactor) process, low proportion of deep desulphurisation of KR, and long waiting time due to mismatch of inter-process tempo of 3 KRs corresponding to 2 converters in one steel plant, based on the technology and equipment of KR process in this plant, the correspondence of time-events in the KR process is systematically analyzed. The fast-pace production status of KR process is discussed as well. And the operating rules for efficient and stable operation of KR are formulated, meanwhile, a framework rule for the reasonable linkage of 3 KRs and 2 converters under the condition of “one-to-one” laminar flow operation in steelmaking section is established, which provides a powerful support for the specialised “one-to-one” laminar flow operation in steelmaking section. The research results show that, compressing the waiting time before and after exiting the station, KR deep desulfurization on-site processing time and increasing the proportion of KR deep desulfurization on-site processing time ≤ 30 mins are the main research directions for the KR desulfurization unit to deeply tap the potential in the recent. Through the implementation of auxiliary time and main operation time in the compression process, the effect of shortening the desulfurization cycle from 59 mins before optimization to the current 35 mins is obtained. The proportion of KR desulfurization, deep desulfurization and "open 2 and prepare 1" have increased from 45.9%, 25.9% and 0 in June 2021 to the current 71.0%, 46.3% and 56.7% respectively, with obvious optimisation effect; However, due to factors such as limited high-quality scrap steel resources, it will further increase the proportion of deep desulfurization in the KR process, customize the KR process path, speed up the production rhythm, and increase the proportion of "open 2 prepare 1" group production under the slag removal deep desulfurization process path to meet KR and converter fast-paced matching and "one-to-one" special line production requirements.
林路, 曾加庆, 张军国, 段云祥, 贺庆, 崔怀周, 戴雨翔. KR工序时间-事件解析与快节奏运行分析[J]. 钢铁, 2023, 58(11): 100-107.
LIN Lu, ZENG Jiaqing, ZHANG Junguo, DUAN Yunxiang, HE Qing, CUI Huaizhou, DAI Yuxiang. Analysis of KR process time event and fast-paced operation[J]. Iron and Steel, 2023, 58(11): 100-107.
[1] 殷瑞钰. 冶金流程工程学[M]. 冶金工业出版社,2009.(YIN R Y. Metallurgical Process Engineering[M]. Beijing:Metallurgical Industry Press,2009.) [2] 颉建新,张福明. 钢铁制造流程智能制造与智能设计[J]. 中国冶金,2019,29(2):1.(XIE J X,ZHANG F M. Intelligent manufacturing and intelligent design of iron and steel manufacturing process[J]. China Metallurgy,2019,29(2):1.) [3] 袁晴棠,殷瑞钰,曹湘洪,等. 面向2035的流程制造业智能化目标、特征和路径战略研究[J]. 中国工程科学,2020,22(3):148.(YUAN Q T,YIN R Y,CAO X H,et al. Strategic research on the goals, characteristics, andpaths of intelligentization of process manufacturing industry for 2035[J]. Strategic Study of CAE,2020,22(3):148.) [4] 刘文仲. 中国钢铁工业智能制造现状及思考[J]. 中国冶金,2020,30(6):1.(LIU W Z. Current situation and thinking of intelligent manufacturing in China′s iron and steel industry[J]. China Metallurgy,2020,30(6):1.) [5] 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 R Y. A discussion on "smart" steel plant: View from physical system side [J]. Iron and Steel,2017,52(6):1.) [6] 于勇. 唐钢智能制造的信息化架构设计[J]. 钢铁,2017,52(1):1.(YU Y. Information architecture design of Hesteel Tangsteel industry for intelligent manufacturing[J]. Iron and Steel,2017,52(1):1.) [7] 韩伟刚,胡长庆. 基于熵的钢铁制造流程运行有序性评价模型[J]. 钢铁,2021,56(5):122.(HAN W G,HU C Q. An entropy-based evaluation model of operation order of steel manufacturing process[J]. Iron and Steel,2021,56(5):122.) [8] 韩伟刚,胡长庆,孙雨含等. 钢铁制造流程铁钢界面时间参数“涨落”特征[J]. 钢铁,2021,56(1):120.(HAN W G,HU C Q,SUN Y H,et al. Fluctuation characteristics of time parameter of ironmaking-steelmaking interface in steel manufacturing process[J]. Iron and Steel,2021,56(1):120.) [9] 连小圆,郑忠,王永周,等. 钢铁制造流程动态运行要素的认识与实践[J]. 钢铁,2021,56(8):53.(LIAN X Y,ZHENG Z,WANG Y Z,et al. Understanding and practice of dynamic operation elements in steel manufacturing process[J]. Iron and Steel,2021,56(8):53.) [10] 殷瑞钰. 流程型制造流程的本质与共性规律[J]. 钢铁,2023,58(2):1.(YIN R Y. Essence and common law of a process-oriented manufacturing process[J]. Iron and Steel,2023,58(2):1.) [11] 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.) [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] 邵鑫,杨建平,王柏琳. 炼钢-连铸区段多工序运行协同控制[J]. 钢铁,2021,56(8):101.(SHAO X,YANG JP,WANG B L. Cooperative control of multi-process operation in steelmaking-continuous casting section[J]. Iron and Steel,2021,56(8):101.) [14] 邓帅,徐安军,周东升. 沙钢永新炼钢厂“准层流”式生产模式分析[C]//第十八届(2014年)全国炼钢学术会议论文集.北京:中国金属学会炼钢分会,2014:6.(DENG S,XU A J,ZHOU D S. Analysis on "Quasi-laminar Flow" production pattern in Yongxin steel works of Shagang[C]//Proceedings of the 18th (2014) National Steelmaking Academic Conference. Beijing:Steelmaking Branch of the Chinese Society for Metals,2014:6.) [15] LIN L, ZENG J Q. Considerations of the narrow window stability control technology on steel quality[J]. International Journal of Minerals,Metallurgy and Materials,2021,26(8):1264. [16] 曾加庆.关于钢铁流程智能化提升的思考[J]. 冶金自动化,2019,43(1):13.(ZENG J Q. Thoughts of intellectualization improvement of iron and steel production process[J]. Metallurgical Industry Automation,2019,43(1):13.) [17] 韩宝,邓勇,杨利彬,等.无氟环保型KR脱硫剂的研究与应用[J].连铸,2022(5):120.(HAN B,DENG Y,YANG L B,et al.Research and application of fluorine-free environment friendly KR desulfurizer[J].Continuous Casting,2022(5):120.) [18] 贾舒渊,王睿之,欧阳德刚,等. KR法脱硫搅拌桨叶几何结构优化[J]. 钢铁,2023,58(3):158.(JIA S Y,WANG R Z,OUYANG D Q,et al. Geometric structure optimization of impeller for KR desulfurization[J]. Iron and Steel,2023,58(3):158.) [19] 吴明,李应江.单喷、复喷、KR法脱硫工艺在马钢的实践分析[J].中国冶金,2008,18(12):9.(WU M,LI Y J. Practical analysis of desulphurization process of single grain magnesium,combined injection and KR method in Masteel[J]. China Metallurgy,2008,18(12):9.) [20] 孙亮,朱良,赵晓东. 3种铁水脱硫工艺的应用实践[J]. 中国冶金,2018,28(3):50.(SUN L,ZHU L,ZHAO X D. Application practice of three kinds of hot metal desulphurization process[J]. China Metallurgy,2018,28(3):50.) [21] JIA S Y,HE Z,OUYANG D G,et al. Powder injection effect on hot metal desulfurization behavior in the kanbara reactor:A transient 3D coupled numerical model[J]. ISIJ International,2022,62(3):449. [22] LI Q,SHEN X Y,GUO S,et al. Computational investigation on effect of impeller dimension on fluid flow and interface behavior for kanbara reactor hot metal treatment[J]. Steel Research International,2021,92(11):2100239. [23] 张福明. 智能化钢铁制造流程信息物理系统的设计研究[J]. 钢铁,2021,56(6):1.(ZHANG F M. Research and design on cyber physics system of intelligent iron and steel manufacturing process[J]. Iron and Steel,2021,56(6):1.) [24] 郑忠,王永周,卢义等. 考虑铸轧协调的炼钢-连铸-热轧一体化生产计划[J]. 钢铁,2020,55(12):107.(ZHENG Z,WANG Y Z,LU Y,et al. Integrated production planning of steelmaking-continuous casting-hot rolling considering coordination between casting and rolling[J]. Iron and Steel,2020,55(12):107.) [25] 郑忠,刘怡,陈开等. 炼钢-连铸-热轧生产计划编制的统一模型及智能算法[J]. 北京科技大学学报,2013,35(5):687.(ZHENG Z,LIU Y,CHEN K,et al. Unified modeling and intelligent algorithm of prodution planning for the process of steelmaking,continuous casting and hot rolling[J]. Journal of University of Science and Technology Beijing,2013,35(5):687.) [26] 李向奎,刘延强,刘鸿明等.智能铸坯品判系统在首钢板坯铸机开发与应用[J].连铸,2022(6):74.(LI X K,LIU Y Q,LIU H M,et al.Development and application of intelligent quality evaluation system for slab caster of Shougang[J].Continuous Casting,2022(6):74.) [27] 欧阳德刚,王庆方,刘守堂. KR脱硫搅拌器的技术现状与发展方向[J]. 武钢技术,2005(5):58.(OUYANG D G,WANG Q F,LIU S T. Present conditions and trend of technological development about stirring devices of KR desulphurization[J]. WISCO Technology,2005(5):58.) [28] 王雪冬,李凤喜,陈清泉,等. KR脱硫技术的应用与进步[J]. 炼钢,2004(4):24.(WANG X D,LI F X,CHEN Q Q,et al. Development and application of KR desulphurisation[J]. Steelmaking,2004(4):24.) [29] 李凤喜,李具中,萧忠敏,等. 武钢二炼钢KR铁水脱硫生产实践[J]. 炼钢,2005,21(5):5.(LI F X,LI J Z,XIAO Z M,et al. Production on application of KR desulphurization at No.2 SMP of WISCO[J]. Steelmaking,2005,21(5):5.) [30] 肖忠敏,陈复汉. KR铁水脱硫技术的应用[J]. 炼钢,1990,6(6):9.(XIAO Z M,CHEN F H. Application of KR hot metal desulphurization technology[J]. Steelmaking,1990,6(6):9.) [31] 云霞,庞智杰,张胤. KR脱硫生产工艺研究[J]. 包钢科技,2021,47(2):32.(YUN X,PANG Z J,ZHANG Y. Study on KR desulfurization production technology,2021,47(2):32.) [32] 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.)
2023, Vol. 58 
