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采用增材制造激光粉末床熔融材料的代表性体积单元进行晶体塑性模拟。

Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials.

作者信息

Bulgarevich Dmitry S, Nomoto Sukeharu, Watanabe Makoto, Demura Masahiko

机构信息

National Institute for Materials Science, 1-2-1 Sengen, Tsukuba, Ibaraki, 305-0047, Japan.

出版信息

Sci Rep. 2023 Nov 21;13(1):20372. doi: 10.1038/s41598-023-47651-2.

Abstract

Additive manufacturing of as-build metal materials with laser powder bed fusion typically leads to the formations of various chemical phases and their corresponding microstructure types. Such microstructures have very complex shape and size anisotropic distributions due to the history of the laser heat gradients and scanning patterns. With higher complexity compared to the post-heat-treated materials, the synthetic volume reconstruction of as-build materials for accurate modelling of their mechanical properties is a serious challenge. Here, we present an example of complete workflow pipeline for such nontrivial task. It takes into account the statistical distributions of microstructures: object sizes for each phase, several shape parameters for each microstructure type, and their morphological and crystallographic orientations. In principle, each step in the pipeline, including the parameters in the crystal plasticity model, can be fine-tuned to achieve suitable correspondence between experimental and synthetic microstructures as well as between experimental stress-strain curves and simulated results. To our best knowledge, this work represents an example of the most challenging synthetic volume reconstruction for as-build additive manufacturing materials to date.

摘要

采用激光粉末床熔融技术对增材制造的成型态金属材料进行加工,通常会导致各种化学相及其相应微观结构类型的形成。由于激光热梯度和扫描模式的作用,这些微观结构具有非常复杂的形状和尺寸各向异性分布。与热处理后的材料相比,成型态材料的合成体积重建以精确模拟其力学性能是一项严峻的挑战。在此,我们展示了一个针对此类复杂任务的完整工作流程示例。它考虑了微观结构的统计分布:各相的物体尺寸、每种微观结构类型的几个形状参数以及它们的形态和晶体取向。原则上,工作流程中的每个步骤,包括晶体塑性模型中的参数,都可以进行微调,以实现实验微观结构与合成微观结构之间以及实验应力 - 应变曲线与模拟结果之间的适当对应。据我们所知,这项工作代表了迄今为止对成型态增材制造材料最具挑战性的合成体积重建示例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/556c/10663526/f272adc25db1/41598_2023_47651_Fig1_HTML.jpg

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