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作 者:Shun-hu Zhang Yi Zhang Wei-gang Li Wen-hao Tian Yan Li Li-zhi Che
机构地区:[1]Shagang School of Iron and Steel,Soochow University,Suzhou,215021,Jiangsu,China [2]Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education,Wuhan University of Science and Technology,Wuhan,430081,Hubei,China
出 处:《Journal of Iron and Steel Research International》2023年第11期2111-2121,共11页
基 金:support from the National Natural Science Foundation of China(Grant Nos.52074187,U1960105,and 52274388);Also,the authors thank for the open-ended fund from Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education,Wuhan University of Science and Technology(No.MADTOF2022B01).
摘 要:The rolling force model is the basis for reasonable selection of rolling equipment and optimization of rolling process,and the establishment of an accurate mathematical model as well as doing the corresponding parameter analysis has been the focus of research in this field for many years.Different modeling methods of the rolling force and their research progress were introduced,the main methods of which are the theoretical analysis,the finite element simulation,the artificial neural network modeling,the hybrid modeling of theory and neural network,as well as the hybrid modeling of finite element and neural network.Meanwhile,the application examples of rolling force models in thickness control,strip crown control,and schedule optimization were presented,and an outlook on the new directions of future development was made,including establishing new type of hybrid models,solving the black box problem,and realizing the multi-objective optimization accounting for some special requirements.
关 键 词:Rolling force Parameter optimization Theoretical analysis Finite element simulation Neural network
分 类 号:TG335[金属学及工艺—金属压力加工]
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