Comprehensive Analysis of Metal Deformation Law Based on Numerical Simulation of Cold Rolling Process

• Autorzy: Yan Zhu-Wen , Wang Bao-Sheng , Bu He-Nan , Li Hao , Hong Lei , Zhang Dian-Hua

Identyfikatory

DOI

10.24425/amm.2022.137799

• Języki publikacji: EN

Abstrakty

EN

Through taking the cold rolling process as the research object, the three-dimensional finite element model of the strip rolling process is established by using ANSYS/LS-DYNA software. The actual rolling product data has strong consistency with the finite element simulation results. The rolling process is dynamically simulated, and the distribution curves of important rolling parameters such as equivalent stress, control efficiency coefficient, transverse rolling pressure, lateral thickness and work roll deflection is obtained. Based on summarizing the influence of rolling parameters on rolling deformation, the research results of this paper can play an important role in the actual rolling process control. The research results have certain guiding significance for the development and optimization of the rolling control system.

Słowa kluczowe

EN

3D elastic-plastic FEM; work roll deflection; lateral thickness; flatness regulation effect; rolling pressure

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2022
• Tom: Vol. 67, iss. 2
• Strony: 623--635
• Opis fizyczny: Bibliogr. 30 poz., fot., rys., tab., wykr., wzory

Twórcy

autor

Yan Zhu-Wen

• Nanjing Institute of Technology, Industrial Technology Research Institute of Intelligent Equipment, Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment, Nanjing 211167, Peoples R China

• https://orcid.org/0000-0001-8977-5440

autor

Wang Bao-Sheng

• Nanjing Institute of Technology, Industrial Technology Research Institute of Intelligent Equipment, Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment, Nanjing 211167, Peoples R China

• https://orcid.org/0000-0001-5309-6905

autor

Bu He-Nan

• Jiangsu University of Science and Technology, School of Mechanical Engineering, Zhenjiang 212003, Peoples R China

• https://orcid.org/0000-0003-1149-0052

autor

Li Hao

• Nanjing Institute of Technology, Industrial Technology Research Institute of Intelligent Equipment, Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment, Nanjing 211167, Peoples R China

• https://orcid.org/0000-0003-3928-6870

autor

Hong Lei

• Nanjing Institute of Technology, Industrial Technology Research Institute of Intelligent Equipment, Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment, Nanjing 211167, Peoples R China

• https://orcid.org/0000-0001-5039-6267

autor

Zhang Dian-Hua

• Northeastern University, State Key Laboratory of Rolling and Automation, 3-11 Wenhua Road, Shenyang, Peoples R China

• https://orcid.org/0000-0003-3078-171X

Bibliografia

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Uwagi

1. This study is financially supported by National Key R&D Program of China (2017YFB0304100), National Natural Science Foundation of China (no.: 51804133, 61703200), the Natural Science Foundation of Jiangsu Provincial of China (no.: BK20180977, BK20181024), and the Foundation of Nanjing Institute of Technology (no.: YKJ201867, YKJ2019112).

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).