期刊
ADDITIVE MANUFACTURING
卷 47, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.addma.2021.102278
关键词
MAM; Heat transfer; Fluid dynamics; Solid mechanics; Meso-scale; Part-scale
资金
- Independent Research Fund Denmark, DIGI-3D project [0136-00210B]
Numerical simulations have shown potential for predicting the quality of components produced by metal additive manufacturing processes. Advanced techniques can predict defect occurrence and optimize processing parameters. Research focuses on different length scales, physics models, and thermo-mechanical behavior modeling strategies.
Numerical simulations have recently shown their potential as a robust, cheap and reliable tool for predicting the quality of components produced by metal additive manufacturing (MAM) processes. Despite the advantages of the MAM processes over conventional manufacturing methods, there is still a lack of thorough understanding on how different defects can form and originate during MAM processing. In that respect, advanced numerical techniques recently developed have the ability to predict the occurrence of such defects. These techniques have paved the way to efficiently obtain the optimal processing window for targeted mechanical properties to satisfy the end-use design requirements. The aim of this review paper is hence to present and classify numerical simulations of MAM, not solely based on their length-scale as often seen, but also based on the involved physics, as well as the modeling strategies at both the meso-scale and part-scale. The paper is arranged in the following way: First, literature describing purely conduction-based heat transfer simulations at meso-scale are presented. This is followed by a review of fluid-based simulations of increasing complexity based on the treatment of free surface of the melt pool at meso-scale. Finally, contributions based on different part-scale modeling approaches with a focus on thermo-mechanical behavior are reviewed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据