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Parameters Determination of Yoshida Uemori Model Through Optimization Process of Cyclic Tension-Compression Test and V-Bending Springback

机译:通过循环拉伸压缩试验和V型弯曲回弹的优化过程确定吉田植森模型的参数

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Abstract In recent years, the studies on the enhancement of the prediction capability of the sheet metal forming simulations have increased remarkably. Among the used models in the finite element simulations, the yield criteria and hardening models have a great importance for the prediction of the formability and springback. The required model parameters are determined by using the several test results, i.e. tensile, compression, biaxial stretching tests (bulge test) and cyclic tests (tension-compression). In this study, the Yoshida-Uemori (combined isotropic and kinematic) hardening model is used to determine the performance of the springback prediction. The model parameters are determined by the optimization processes of the cyclic test by finite element simulations. However, in the study besides the cyclic tests, the model parameters are also evaluated by the optimization process of both cyclic and V-die bending simulations. The springback angle predictions with the model parameters obtained by the optimization of both cyclic and V-die bending simulations are found to mimic the experimental results in a better way than those obtained from only cyclic tests. However, the cyclic simulation results are found to be close enough to the experimental results.
机译:摘要近年来,关于增强钣金成形模拟的预测能力的研究显着增加。在有限元模拟中使用的模型中,屈服准则和硬化模型对于预测可成形性和回弹非常重要。所需的模型参数是通过使用几种测试结果确定的,即拉伸,压缩,双轴拉伸测试(凸出测试)和循环测试(拉伸压缩)。在这项研究中,吉田上森(各向同性和运动学的结合)硬化模型用于确定回弹预测的性能。模型参数由循环测试的优化过程通过有限元模拟确定。但是,在研究中,除了循环测试之外,还通过循环和V模弯曲仿真的优化过程来评估模型参数。与通过循环测试获得的模型参数相比,通过循环和V模弯曲仿真的优化获得的模型参数的回弹角预测可以更好地模拟实验结果。然而,发现循环仿真结果与实验结果足够接近。

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