Investigation on the effect of friction and material behavior models on the springback simulation precision: application to automotive part B-Pillar and material TRIP800 steel
Automakers continuously develop new steel grades with high performance for the automotive industry: For example, dual phase steel (DP) and transformation-induced plasticity steel (TRIP) are now widespread. The use of these grades improves the crashworthiness of automotive bodies and allows a significant weight reduction for cars. However, these materials raise new challenges for manufacturers, especially for springback prediction, which affects the manufacturing precision. In this study, the influence of material models and coefficients of friction on the springback prediction is investigated. The stamping of an industrial example of the B-Pillar is analyzed using three coefficients of friction (mu= 0.08, mu= 0.12, mu= 0.16), four constitutive models (Hockett-Sherby, Swift, SHS, and mixed), and three yield functions (Barlat 91, Hill 90 and Hill 48). All numerical simulations are realized using Pam-Stamp software and compared with measurements. Based on the obtained results, a classification of different parameters is presented.
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机译:汽车制造商不断为汽车行业开发具有高性能的新钢种:例如,双相钢 (DP) 和相变诱导塑性钢 (TRIP) 现已广泛使用。使用这些牌号可以提高车身的耐撞性,并显著减轻汽车的重量。然而,这些材料给制造商带来了新的挑战,尤其是回弹预测,这会影响制造精度。本文研究了材料模型和摩擦系数对回弹预测的影响。使用三个摩擦系数(mu = 0.08、mu= 0.12、mu = 0.16)、四个本构模型(Hockett-Sherby、Swift、SHS 和混合模型)和三个屈服函数(Barlat 91、Hill 90 和 Hill 48)分析了 B 柱工业实例的冲压。所有数值模拟均使用Pam-Stamp软件实现,并与测量结果进行比较。根据获得的结果,给出了不同参数的分类。
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