Determination of Mechanical Properties of Polycrystals by Using Crystal Plasticity and Numerical Homogenization Schemes

Determination of Mechanical Properties of Polycrystals by Using Crystal Plasticity and Numerical Homogenization Schemes
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利用晶体塑性和数值均化方案测定多晶的机械性能

DOI:
10.1002/srin.201300202
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发表时间:
2014
影响因子:
2.2
通讯作者:
A. Butz
A. Butz
中科院分区:
材料科学3区
文献类型:
--
作者:
M. Baiker;D. Helm;A. Butz

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金属成形过程的建模和仿真通常基于实验数据。不幸的是,多晶材料的力学行为和相关性质的实验研究是一项困难的任务,因为只有有限的应力和应变状态可以通过实验研究。例如,金属板的测试在拉伸下是简单的,在压缩下由于屈曲是复杂的,并且在双轴载荷下是昂贵的。为了减少这些缺点,虚拟测试的概念被应用。在这个概念中,单晶的行为是由晶体塑性和多晶微观结构的行为是由使用周期性的微观结构的有限元解表示。该策略在低碳钢DC04上得到了成功的验证。为了校准虚拟测试,只有少量的实验信息,如晶体学和形态学织构和拉伸测试数据将被纳入。其他量,如其他方向的拉伸行为、多轴材料行为以及Lankford系数和初始屈服行为,将通过虚拟测试进行预测,并与实验数据进行比较以进行验证。校准虚拟测试和预测关键材料值的方法是成功的,并导致有价值的贡献,金属板材的建模和仿真。
The modeling and simulation of metal forming processes is typically based on experimental data. Unfortunately, the experimental investigation of the mechanical behavior and the related properties of polycrystalline materials is a difficult task, because only limited stress and strain states can be investigated experimentally. For example, the testing of sheet metals is simple under tension, complex under compression due to buckling, and costly under biaxial load. In order reduce these drawbacks, a virtual testing concept is applied. In this concept, the behavior of single crystals is modeled by crystal plasticity and the behavior of polycrystalline microstructures is represented by using finite element solutions of periodic microstructures. The success of the strategy is validated on the mild steel DC04. In order to calibrate the virtual testing, only a small number of experimental information like crystallographic and morphologic texture and tension test data will be incorporated. Other quantities, like the tension behavior in other directions, the multi‐axial material behavior, as well as the Lankford coefficients and the initial yield behavior will be predicted by virtual testing and compared to experimental data for validation. The demonstrated approach for calibrating the virtual testing and for predicting key material values is successful and leads to valuable contributions to the modeling and simulation of sheet metals.
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