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A pseudorandom based crystal plasticity finite element method for grain scale polycrystalline material modeling

机译:基于伪随机的晶体可塑性有限元方法用于晶粒多晶材料建模

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Recently, the grain scale modeling has gained much attention in the area of properties characterization, processing and application for polycrystalline materials at micro-nanometer level. In order to develop the high-quality grain scale representative volume element (RVE) models for polycrystalline materials, this paper proposes a pseudorandom based crystal plasticity finite element (CPFE) modeling method, which can take full advantage of true grain scale information and generate pseudorandom grains. Further, the uniaxial tension experiments, EBSD copying modeling method and Voronoi modeling method, were used to validate the proposed pseudorandom based CPFE modeling method. Results show that the Pseudorandom model is better than existing advanced grain scale RVE models in terms of simulation efficiency, representativeness, strain rate stability, mesh density stability and truth proximity. In the end, this research provides a better grain scale RVE modeling method and can promote the progress of material characterization, processing and application for polycrystalline materials at micro-nanometer scale.
机译:最近,晶粒度建模在微纳米级的多晶材料的特性表征,加工和应用领域中引起了广泛关注。为了开发高质量的多晶材料晶粒尺寸代表体积元(RVE)模型,本文提出了一种基于伪随机的晶体塑性有限元(CPFE)建模方法,该方法可以充分利用真实的晶粒尺寸信息并生成伪随机性谷物。此外,单轴拉伸实验,EBSD复制建模方法和Voronoi建模方法,被用来验证所提出的基于伪随机的CPFE建模方法。结果表明,伪随机模型在模拟效率,代表性,应变率稳定性,网格密度稳定性和真相逼近性方面均优于现有的高级晶粒度RVE模型。最后,本研究提供了一种更好的晶粒尺寸RVE建模方法,并可以促进多纳米材料的材料表征,加工和应用的进展。

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