Finite element modeling for analyzing the production of high-strength steel sheets for automobile parts

有限元法 汽车工业 生产(经济) 高强度钢 制造工程 材料科学 结构工程 机械工程 工程类 冶金 宏观经济学 航空航天工程 经济
作者
Apichat Sanrutsadakorn,Napatsakorn Jhonthong,Weerapong Julsri
出处
期刊:Materials research express [IOP Publishing]
卷期号:11 (10): 106524-106524 被引量:1
标识
DOI:10.1088/2053-1591/ad88df
摘要

Abstract An investigation was conducted on developing components from high-strength steel sheet grade 590, with a thickness of 2.40 millimeters, using finite element analysis. The focus was on predicting springback and deviation behavior during the manufacturing process of a Member C inner workpiece. The research comprised a comprehensive examination of chemical composition, microstructural analysis, and mechanical property testing to establish suitable material models for the forming process. Three material models were evaluated for accuracy, including the Barlat89 yield criteria, the Y-U model, and the Barlat89 yield criteria + Y-U model. Cyclic tension-compression tests were used to determine the parameters of the Barlat89 yield criteria + Y-U model, which were then confirmed using the 1-element model. The predicted bend angles for the manufactured samples were highly consistent with the experimental measurements. The three models were used to predict the strain distribution, springback and deviation behavior in the produced components. The results indicated that all three material models produced similar results in terms of strain distribution. However, the Barlat89 yield criteria + Y-U model exhibited the least inaccuracy when all seven sections were averaged, with angles θ 1L of 93.66 degrees and θ 1R of 93.13 degrees, underscoring its superior performance in predicting springback. The deviation behavior predicted by the three material model simulations was very comparable. Consequently, it can be concluded that the Barlat89 yield criteria + Y-U model represented the most precise and suitable choice for simulating the formation of the Member C inner component.
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