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Constitutive modeling related uncertainties: Effects on deformation prediction accuracy of sheet metallic materials

机译:本构建模相关的不确定性:对板金属材料变形预测精度的影响

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摘要

Constitutive modeling is the most fundamental issue for nonlinearity characterization of sheet metallic materials. However, uncertainties from multiple sources inevitably involved in material characterizing make the high-order accurate constitutive modeling of sheet materials a non-trivial and challenging issue for reliable finite element (FE) simulations of forming processes. In this study, taking multi-stage cupping of aluminum and steel sheet materials as the case, from four respects of the uncertainty sources, viz., stress updating algorithms, yield criteria, flow rules and hardening laws, the epistemic uncertainties involved in constitutive modeling is articulated and the uncertainties induced errors in deformation prediction are quantitatively evaluated. Within the implicit integration framework, the differences in the updating of normal strain for plane stress and three-dimensional (3D) stress states are elaborated, and typical constitutive models are numerically implemented into explicit FE code. By combining the Hill'48-s (characterized by yield stresses), Hill'48-r (characterized by r-values), YLD2004, CPB06 or Yoon's yield model, with the associated flow rule (AFR) or the non-associated flow rule (NAFR), and Swift, Voce, Hollomon or Ludwik hardening law, the effects of the constitutive modeling related uncertainties on deformation prediction accuracy of sheet metals are investigated. The results show that the constitutive modeling related uncertainties have discrepant effects on deformation prediction of two materials for multiple forming indexes. For AA5352 alloy, the employed models cannot provide accurate prediction with the prediction errors of greater than 1%. While, for TH330 steel, the combination of the NAFR Hill'48 model and Swift hardening law can significantly reduce the uncertainties in the deformation prediction and the prediction errors are less than 1%. By introducing forming limit diagram (FLD), the above uncertainties induced errors in the deformation prediction result in different prediction of necking/fracture failure of the above alloys upon the multi-stage forming processes, viz., the failure of the AA5352 is captured with large prediction error in deformation, while the failure cannot be predicted for the TH330 with minor errors of deformation prediction.
机译:本构型建模是片金属材料非线性表征的最基本问题。然而,来自多种来源的不确定性不可避免地参与材料表征,使片材的高阶精确本构建模成为可靠的有限元(Fe)模拟的形成过程的非琐碎和具有挑战性的问题。在这项研究中,从不确定来源的四个方面采用铝和钢板材料的多阶段拔管,求解,压力更新算法,产量标准,流量规则和硬化法,涉及本构型造型的认知不确定性被阐述,并且定量评估了变形预测中的不确定性诱导的误差。在隐式集成框架内,阐述了平面应力和三维(3D)应力状态的正常应变的更新的差异,并且典型的本构模型是以显式FE代码的数字实现。通过将Hill'48-S(以屈服应力为特征),Hill'48-R(特征在于R值),YLD2004,CPB06或Yoon的产量模型,具有相关的流量规则(AFR)或非相关流量规则(NAFR)和SWIFT,VOCE,HOLLOMON或LUDWIK硬化定律,研究了本构模拟相关不确定性对板坯变形预测精度的影响。结果表明,本结构型建模相关的不确定性对多种成形指标的两种材料的变形预测具有差异影响。对于AA5352合金,所采用的模型不能提供准确的预测,预测误差大于1%。虽然,对于TH330钢,NAFR Hill'48模型和Swift硬化定律的组合可以显着降低变形预测中的不确定性,并且预测误差小于1%。通过引入形成极限图(FLD),上述不确定性在变形预测中的误差引起的误差导致上述合金在多级形成过程中的接口/断裂衰竭的不同预测,即在多级成型过程中,捕获AA5352的故障变形的大预测误差,而对TH330不能预测故障,具有较小的变形预测误差。

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