变速轧制下超快冷系统工艺温度在线实时修正策略

doi:10.12068/j.issn.1005-3026.2019.01.008

东北大学学报:自然科学版 ›› 2019, Vol. 40 ›› Issue (1): 37-42.DOI: 10.12068/j.issn.1005-3026.2019.01.008

变速轧制下超快冷系统工艺温度在线实时修正策略

李振垒，陈冬，袁国，王国栋

(东北大学轧制技术及连轧自动化国家重点实验室，辽宁沈阳110819)

收稿日期:2017-09-28 修回日期:2017-09-28 出版日期:2019-01-15 发布日期:2019-01-28
通讯作者: 李振垒
作者简介:李振垒(1984-)，男，河南濮阳人，东北大学博士后研究人员；袁国(1979-)，男，山东泰安人，东北大学教授，博士生导师；王国栋(1942-)，男，辽宁大连人，东北大学教授，博士生导师，中国工程院院士.
基金资助:
“十二五”国家科技支撑计划项目(2012BAF04B01)；中国博士后科学基金资助项目(2015M581347).

On-Line Correction Strategy for Processing Temperature in Ultra-fast Cooling System Under Variable Velocity Rolling

LI Zhen-lei， CHEN Dong， YUAN Guo， WANG Guo-dong

State Key Laboratory of Rolling and Automation， Northeastern University， Shenyang 110819， China.

Received:2017-09-28 Revised:2017-09-28 Online:2019-01-15 Published:2019-01-28
Contact: LI Zhen-lei
About author:-
Supported by:
-

摘要/Abstract

摘要： 结合某现场超快速冷却系统，具体分析了带钢运行速度变化对轧后冷却过程换热系数与冷却时间的影响规律.根据速度运行机制，开发了速度在线修正计算策略，实现了轧后冷却区带钢速度计算值与实际值的吻合;并在此基础上开发的工艺温度在线循环计算策略，消除了速度波动对温度控制的影响，提高了温度控制精度.将该温度在线实时修正策略应用于现场，实现了超快冷出口温度与卷取温度的精确控制，工艺温度命中率在96%以上，有效消除速度对温度波动的影响，完全满足新产品、新工艺的工业化试制及大批量生产.

关键词: 热轧板带钢, 超快速冷却, 温度控制, 速度在线修正, 温度在线修正

Abstract: Based on the ultra-fast cooling system of a certain plant， the effect of various velocity of hot-rolled strip on the transfer coefficient and cooling time was analyzed. According to the velocity mechanism during producing， on-line corrected control strategy of velocity was developed and the calculated velocity is accurately matched the measured value. Based on the above strategies above， an on-line correction strategy for processing temperature was developed to eliminate the influence of velocity fluctuation on temperature deviation so that the accuracy to control processing temperature was improved. By proposing such on-line correction strategy to an on-site operation， the ultra-fast cooling delivery temperature and coil temperature can be well controlled， the temperature deviation affected by velocity fluctuation is effectively eliminated， and the hit rate of process temperature is more than 96%， which lays solid foundation for new product development and mass industrialized production.

Key words: hot-rolled strip, ultra-fast cooling, temperature control, on-line velocity correction, on-line temperature correction

中图分类号:

TG335.42

李振垒，陈冬，袁国，王国栋. 变速轧制下超快冷系统工艺温度在线实时修正策略[J]. 东北大学学报:自然科学版, 2019, 40(1): 37-42.

LI Zhen-lei， CHEN Dong， YUAN Guo， WANG Guo-dong. On-Line Correction Strategy for Processing Temperature in Ultra-fast Cooling System Under Variable Velocity Rolling[J]. Journal of Northeastern University Natural Science, 2019, 40(1): 37-42.

参考文献

[1]王国栋.新一代控制轧制和控制冷却技术与创新的热轧过程［J］.东北大学学报(自然科学版)，2009，30(7):913-922.(Wang Guo-dong.New generation TMCP and innovative hot rolling process ［J］.Journal of Northeastern University(Natural Science)，2009，30(7):913-922.)
[2]Li Z L，Li H J，Yuan G，et al.Research and application of ultra-fast cooling system and velocity controlled strategy for hot rolled strip ［J］.Steel Research International，2015，86(5):478-488.
[3]Li Z L，Yuan G，Han Y，et al.Research on radial direction temperature change law of coil and control strategy for ultra-fast cooling ［J］.Metallurgical Research and Technology，2015，112(1):1-12.
[4]Zheng Y，Li S Y，Wang X B.Distributed model predictive control for plant-wide hot-rolled strip laminar cooling process ［J］.Journal of Process Control，2009，19(1):1427-1437.
[5]Lawrence W J，MacAlister A F，Reeve R J.Online modeling and control of strip cooling ［J］.Ironmaking and Steelmaking，1996，23(1):74-78.
[6]Wang J，Wang G D，Liu X H.Hot strip laminar cooling control model ［J］.Journal of Iron and Steel Research，International，2004，11(5):13-17.
[7]李振垒.基于超快速冷却的热轧带钢轧后冷却系统与策略研究［D］.沈阳:东北大学，2015.(Li Zhen-lei.Research of cooling control system and control strategy after rolling based on UFC for hot rolled strip［D］.Shenyang:Northeastern University，2015.)
[8]Xing G，Ding J，Chai T，et al.Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process ［J］.Engineering Applications of Artificial Intelligence，2012，25(2):418-429.
[9]Wang B X，Chen X L，Tian Y，et al.Calculation method of optimal speed profile for hot plate during controlled cooling process ［J］.Journal of Iron and Steel Research，International，2011，18(5):38-41.
[10]Guo R M.Modeling and simulation of run-out table cooling control using feedforward-feedback and element tracking system ［J］.IEEE Transactions on Industry Applications，1997，33(2):304-311.
[11]Edalatpour S，Saboonchi A，Hassanpour S.Effect of phase transformation latent heat on prediction accuracy of strip laminar cooling ［J］.Journal of Materials Processing Technology，2011，211(11):1776-1782.
[12]Li H J，Li Z L，Guo Y，et al.Development of new generation cooling control system after rolling in hot rolled strip based on UFC ［J］.Journal of Iron and Steel Research，International，2013，20(7):29-34.(上接第36页)
[3]Feng Q X，Li L F，Yang W Y，et al.Microstructures and mechanical properties of hot-rolled Nb-microalloyed TRIP steels by different thermo-mechanical processes［J］.Materials Science and Engineering:A，2014，605:14-21.
[4]Fu B，Yang W Y，Lu M Y，et al.Microstructure and mechanical properties of hot-rolled C-Mn-Al-Si TRIP steels with and without Nb based on dynamic transformation［J］.Materials Science and Engineering:A，2012，536:265-268.
[5]Jun H J，Park S H，Choi S D，et al.Decomposition of retained austenite during coiling process of hot rolled TRIP-aided steels［J］.Materials Science and Engineering:A，2004，379:204-209.
[6]Park H S，Seol J B，Lim N S，et al.Study of the decomposition behavior of retained austenite and the partitioning of alloying elements during tempering in CMnSiAl TRIP steels［J］.Materials and Design，2015，82:173-180.
[7]Sugimoto K I，Usui N，Kobayashi M，et al.Effect of volume fraction and stability of retained austenite on ductility of TRIP-aided dual-phase steels［J］.ISIJ International，1992，32(12):1311-1318.
[8]Dijk N H，Butt A M，Zhao L，et al.Thermal stability of retained austenite in TRIP steels studied by synchrotron X-ray diffraction during cooling［J］.Acta Materialia，2005，53:5439-5447.
[9]Godet S，Jacques P J.Beneficial influence of an intercritically rolled recovered ferritic matrix on the mechanical properties of TRIP-assisted multiphase steels［J］.Materials Science and Engineering:A，2015，645:20-27.
[10]Hosseini S M K，Abbass Z H，Steve Y.Effect of austenite deformation in non-recrystallization region on microstructure development in low-silicon content TRIP-assisted steels［J］.Materials Science and Engineering:A，2014，618:63-70.

[1]	张福波，张永臣，杨丽娟. 圆形喷嘴内部结构对射流冲击换热性能的影响[J]. 东北大学学报:自然科学版, 2018, 39(9): 1257-1261.
[2]	付天亮，邓想涛，韩钧，王昭东. 钢板超快速冷却条件下换热实验研究[J]. 东北大学学报:自然科学版, 2017, 38(10): 1399-1404.
[3]	孙涛，李建平，王贵桥，吴志强. 液压张力温轧实验轧机薄带在线加热温度控制[J]. 东北大学学报:自然科学版, 2016, 37(10): 1398-1402.
[4]	石建辉，袁国，张勇，王国栋. 包钢CSP生产线后段超快冷系统水压控制方法[J]. 东北大学学报:自然科学版, 2015, 36(4): 474-478.
[5]	李旭东，袁国，江潇，王国栋. 热轧带钢X80超快冷出口温度高精度控制方法[J]. 东北大学学报:自然科学版, 2015, 36(10): 1431-1435.
[6]	沈鑫珺，裴新华，唐帅，王国栋. 卷取温度对热轧F/B双相钢组织性能的影响[J]. 东北大学学报:自然科学版, 2014, 35(8): 1120-1123.
[7]	龚殿尧，陈华昕，徐芳，徐建忠. 调节轧制速度和水流量进行终轧温度控制的比较[J]. 东北大学学报:自然科学版, 2014, 35(7): 979-983.
[8]	陈小林，袁国，王昭东，王国栋. 新一代中厚板轧后冷却系统中队列存储技术的应用[J]. 东北大学学报(自然科学版), 2013, 34(2): 227-230.
[9]	付天亮，李勇，王昆，王昭东. 冷却方式对特厚钢板淬火温度均匀性的影响[J]. 东北大学学报（自然科学版）, 2013, 34(11): 1575-1579.
[10]	胡啸;李振垒;王昭东;王国栋;. 中厚板轧后超快速冷却系统流量自动标定技术[J]. 东北大学学报(自然科学版), 2012, 33(9): 1286-1289.
[11]	赵宪明;郭飞;王丽娜;吴迪;. 超快冷对H型钢冷却变形的影响[J]. 东北大学学报(自然科学版), 2012, 33(7): 949-952.
[12]	王丙兴;胡啸;王昭东;王国栋;. ADCOS-PM工艺下中厚板冷却速度控制方法[J]. 东北大学学报(自然科学版), 2012, 33(4): 509-512.
[13]	郭飞;赵宪明;彭良贵;吴迪;. H型钢超快速冷却控制系统的开发与应用[J]. 东北大学学报(自然科学版), 2012, 33(2): 218-221.
[14]	李振垒;李海军;王昭东;王国栋;. 热轧板带钢的超快速冷却控制系统[J]. 东北大学学报(自然科学版), 2012, 33(10): 1436-1439+1452.
[15]	王斌;周晓光;刘振宇;王国栋;. 超快速冷却对中碳钢组织和性能的影响[J]. 东北大学学报(自然科学版), 2011, 32(1): 48-51.

变速轧制下超快冷系统工艺温度在线实时修正策略

On-Line Correction Strategy for Processing Temperature in Ultra-fast Cooling System Under Variable Velocity Rolling

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价