Abstract 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.

中文翻译：

---

一种用于晶粒尺度多晶材料建模的基于伪随机的晶体塑性有限元方法

摘要 近年来，晶粒尺度建模在微纳米级多晶材料的性能表征、加工和应用领域受到广泛关注。为了开发多晶材料的高质量晶粒尺度代表体积元（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度信息并生成伪随机谷物。此外，单轴拉伸实验、EBSD 复制建模方法和 Voronoi 建模方法用于验证所提出的基于伪随机的 CPFE 建模方法。结果表明，Pseudorandom 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值接近度。最终，该研究提供了一种更好的晶粒尺度RVE建模方法，可以促进微纳米尺度多晶材料的材料表征、加工和应用的进展。