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FE calculations on a three stage metal forming process of Sandvik Nanoflex

机译:sandvik Nanoflex三阶段金属成形过程的有限元计算

摘要

Sandvik NanoflexTM combines good corrosion resistance with high strength. This steel has good deformability inudaustenitic conditions. It belongs to the group of metastable austenites, which means that during deformation a strain-inducedudtransformation into martensite takes place. After deformation, transformation continues as a result of internal stresses. Bothudtransformations are stress-state and temperature dependent. A constitutive model for this steel has been formulated, basedudon the macroscopic material behaviour measured by inductive measurements. Both the stress-assisted and the strain-inducedudtransformation into martensite have been incorporated in this model. Path-dependent work hardening has also been takenudinto account. This article describes how the model is implemented in an internal Philips FE code called CRYSTAL, which isuda dedicated robust and accurate finite element solver. The implementation is based on lookup tables in combination withudfeed-forward neural networks. The radial return method is used to determine the material state during and after plasticudflow, however, it has been extended to cope with the stiff character of the partial differential equation that describes theudtransformation behaviour.
机译:山特维克NanoflexTM具有良好的耐腐蚀性和高强度。该钢在奥氏体条件下具有良好的变形能力。它属于亚稳态奥氏体组,这意味着在变形过程中发生了应变诱发的 ud转变为马氏体。变形后,由于内部应力,变形继续进行。两种转换都与应力状态和温度有关。基于通过感应测量所测量的宏观材料行为,已经制定了该钢的本构模型。应力辅助和应变诱发的 ud转变为马氏体均已纳入此模型。也已考虑了与路径相关的工作强化。本文介绍了如何在内部飞利浦FE代码CRYSTAL中实现该模型,该代码是专用的鲁棒且精确的有限元求解器。该实现基于结合 udfeed-forward神经网络的查找表。径向返回法用于确定塑性渗漏期间和之后的材料状态,但是,它已扩展为应对描述 udtransformation行为的偏微分方程的刚性特征。

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