Abstract
In order to improve the threading stability and the head thickness precision in tandem hot rolling process, an adaptive threading strategy was proposed. The proposed strategy was realized by the rolling characteristics analysis, and factors which affect the rolling force and the final thickness were determined and analyzed based on the influence coefficients calculation process. An objective function consisting of the influenced factors was founded, and the disturbance quantity was obtained by minimizing the function with the Nelder-Mead simplex method, and the proposed adaptive threading strategy was realized based on the calculation results. The adaptive threading strategy has been applied to one 7-stand hot tandem mill successfully, actual statistics data show that the predicted rolling force prediction in the range of ±5.0% is improved to 97.8%, the head thickness precision in the range of ±35 μm is improved to 98.5%, and the threading stability and the head thickness precision are enhanced to a high level.
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References
LENARD J G. Primer on flat rolling [M]. Tokyo: Tokyo Press, 2007: 17–20.
LINGHU Ke-zhi, He An-rui, YANG Quan, ZHAO Lin, GUO **ao-Bo. Dynamic decoupling for combined shape and gauge control system in wide strip rolling process [J]. Journal of Iron and Steel Research, international, 2008, 15(2): 28–31.
JI Ya-feng, ZHANG Dian-hua, CHEN Shu-zong, SUN Jie, LI Xu, DI Hong-shuang. Algorithm design and application of novel GM-AGC based on mill stretch characteristic curve [J]. Journal of Central South University, 2014, 21(3): 942–947.
WAN Zhou, WANG **ao-dong. WU Jian-de. Model adaptive learning for steel rolling mill control [C]// Proceedings of 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop. IEEE Xplore, 2008, 16(2): 903–906.
BANBACH M., SEUREN S. On instabilities of force and grain size predictions in the simulation of multi-pass hot rolling processes [J]. Journal of Materials Processing Technology, 2015, 216: 95–113.
WANG Jian, XIAO Hong, ZHANG **g-xu. Research on self-learning of hot strip finishing setup model for rolling force [J]. Journal of Central South University (Science and Technology), 2014, 45(10): 3398–3407. (in Chinese)
PENG Wen, ZHANG Dian-hua, GONG Dian-yao. Optimization of roll-gap self-learning algorithm in tandem hot rolled strip finishing mill [C]// Proceedings of the 2012 24th Chinese Control and Decision Conference (CCDC). IEEE Xplore, 2012: 3947–3950.
HU **na-lei, WANG Zhao-dong, ZHAO Zhong, LIU **ang-hua, WANG Guo-dong. Gauge-meter model building based on the effect of elastic deformation of rolls in a plate mill [J]. Journal of University of Science and Technology Bei**g, 2007, 14(4): 381–386.
HU Song-tao. Study and application on adaptive strip threading model for hot strip mill [J]. Metallurgical Industry Automation, 2009, 33(4): 63–65, 70. (in Chinese)
ZHANG **ao-feng, WANG Zhe, WANG Guo-dong, LIU **ang-hua. Fuzzy dynamic setting technology for hot strip mill [J]. Journal of Iron and Steel Research, 2000, 12(3): 22–26. (in Chinese)
DING **g-guo, HU **an-Iei, JIAO **g-min, SHE Guang-fu, LIU **ang-hua. Application of adaptive threading technique to hot strip mill [J]. Journal of Iron and Steel Research, International. 2008, 15(5): 29–31, 36.
JI Ya-feng, PENG Wen, Ma Geng-sheng, Zhang Dian-hua. Optimization of adaptive threading strategy in hot strip rolling [J]. Journal of Northeastern University(Natural Science). 2015, 36(8): 1106–1109. (in Chinese)
PENG Wen, ZHANG Dian-hua, CAO Jian-zhao, LIU Zi-ying. Optimization algorithm of spring equation in tandem hot rolling based on static errors [J]. Journal of Northeastern University (Natural Science).2013, 34(4): 528–531. (in Chinese)
HILL S, HUMPHREYS L D. Numerical mountain pass periodic solutions of a nonlinear spring equation [J]. Computers & Mathematics with Applications, 1998, 35(12): 59–67.
SUN Yi-kang. Models and control in hot rolling process [M]. Bei**g, Metallurgical Industry Press, 2007: 210–211.
SUN Jie, CHEN Shu-zong, HAN Huan-huan, CHEN **ng-hua, CHEN Qiu-jie, ZHANG Dian-hua. Identification and optimization for hydraulic roll gap control in strip rolling mill [J]. Journal of Central South University, 2014, 22(6): 2183–2191.
ZHANG Hao-yu, SUN Jie, ZHANG Dian-hua, LI Xu. Compensation method to improve dynamics of hydraulic gap control system [C]// Proceedings of the 2012 24th Chinese Control and Decision Conference (CCDC). IEEE Xplore, 2012: 1536–1541.
CAO Jian-zha, PENG Wen, ZHANG Dian-hua. Multi-task application platform of process control system for hot strip rolling [J]. Journal of Northeastern University (Natural Science). 2013, 34(8): 1113–1117. (in Chinese)
ZENG Liang-cai. Strip mill hydraulic agc synthetical test system and fault diagnosis research [D]. Wu Han: Wuhan University of Technology (School of Logistics Engineering), 2005.
RICHARD O, EFSTRATIOS N P. Multi-objective optimization with convex quadratic cost functions: A multi-parametric programming approach [J]. Computers and Chemical Engineering. 2016, 85: 36–39.
JIA Shu-**, LI Wei-gang, LIU **ang-hua, DU Bin. Multi-objective load distribution optimization for hot strip mills [J]. Journal of Iron and Steel Research, international. 2013, 20(2): 27–32, 61.
YAN Ji-hong, LI Lin. Multi-objective optimization of milling parameters e the trade-offs between energy, production rate and cutting quality [J]. Journal of Cleaner Production, 2013(52): 462–471.
ABIDO M A. Multi-objective particle swarm optimization of environmental/economic dispatch problem [J]. Electric Power System Research, 2009, 79: 1105–1113.
NELDER J A, MEAD R. A simplex method for function minimization [J]. Computer Journal, 1965, 7: 308–313.
CHEN Shu-zong, CHEN Shu-zong, ZHANG Dian-hua, PENG Liang-gui, ZHANG **n, SUN Jie, LIU Yin-zhong. Multi-objective optimization of rolling schedule based on cost function for tandem cold mill [J]. Journal of Central South University, 2014, 21(5): 1733–1740.
PENG Wen, CHEN Shu-zong, Ding **g-guo, ZHANG Dian-hua. Multi-objective function optimization of rolling schedule in tandem hot mill based on penalty item [J]. Journal of Shenyang University of Technology, Electric Power System Research, 2014, 36(1): 45–50. (in Chinese)
OURIA A, TOUFIGH M M. Application of nelder-mead simplex method for unconfined seepage problems [J]. Applied Mathematical Modelling, 2009, 33(9): 3589–3598.
RUDKINS N, EVANS P. Mathematical modelling of mill set-up in hot strip rolling of high strength steels [J]. Journal of Materials Processing Technology, 1998, 80/81: 320–324.
WANG Jian, LIU Chang-qing, XIAO Hong. Research on finishing setup and self-adaptive of hot strip mill [J]. Journal of Central South University, 2012, 43(7): 2607–2612. (in Chinese)
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Foundation item: Project(51504061) supported by the National Natural Science Foundation of China
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Peng, W., Chen, Sz., Gong, Dy. et al. Adaptive threading strategy based on rolling characteristics analysis in hot strip rolling. J. Cent. South Univ. 24, 1560–1572 (2017). https://doi.org/10.1007/s11771-017-3561-2
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DOI: https://doi.org/10.1007/s11771-017-3561-2