Microstructure-informed, predictive crystal plasticity finite element model of fatigue-dwells
Microstructure-informed, predictive crystal plasticity finite element model of fatigue-dwells
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DOI：
10.1016/j.commatsci.2020.109823
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发表时间：
2020-10
影响因子：
3.3
通讯作者：
D. Agius;Abdullah Al Mamun;C. Simpson;C. Truman;Yiqiang Wang;M. Mostafavi;D. Knowles
中科院分区：
文献类型：
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作者：
D. Agius;Abdullah Al Mamun;C. Simpson;C. Truman;Yiqiang Wang;M. Mostafavi;D. Knowles
晶体塑性有限元（CPFE）模拟是一种有效的工具，可以从中提取和使用晶体金属系统细观尺度行为的详细信息，不仅可以增强对不同载荷条件下材料行为的理解，而且可以提高工程构件的结构完整性评估。然而，为了充分受益，必须证明它不仅可以预测材料的平均整体响应，而且还可以预测局部行为，以便深入了解局部应力和塑性应变区域。在这项研究中，基于滑移系统的本构模型，以提高模拟能力的时间无关和时间相关的塑性。已作出比较之间的宏观力学行为预测的模型和以前的实验进行了工程长度尺度。关键的是，宏观力学行为预测的模型已被检查对行为的材料在介观尺度的结晶水平测量以前的衍射实验。该模型的鲁棒性表现在宏观和细观尺度上，通过成功的预测宏观尺度的行为和晶格应变演变在各种加载条件下。该模型不仅有效地识别了先前变形对后续加载的影响，而且补充了中子衍射数据，以丰富对材料内晶粒变形的重要加载条件的影响的理解。
Crystal plasticity finite element (CPFE) modelling is an effective tool from which detailed information on the meso-scale behaviour of crystalline metallic systems can be extracted and used, not only to enhance the understanding of material behaviour under different loading conditions, but also to improve the structural integrity assessment of engineering components. To be of full benefit however it must be demonstrated to not only predict the average global response of the material, but also the local behaviour, to provide insight into localised regions of stress and plastic strain. In this study, a slip system based constitutive model is developed to improve the simulation capability of time-independent and time-dependent plasticity. Comparison has been made between the macro-mechanical behaviour predicted by the model and previous experiments carried out at engineering length scale. Critically, the macro-mechanical behaviour predicted by the model has been examined against the behaviour of the materials at the meso-scale crystalline level measured by previous diffraction experiments. The robustness of the model is demonstrated on both the macro- and meso-scale through the successful prediction of macro-scale behaviour and lattice strain evolution under a variety of loading conditions. The model not only effectively recognised the influence of prior deformation on subsequent loading, but also complemented neutron diffraction data to enrich the understanding of the influence of an important loading condition on the deformation of grains within the material.