Review on Laser Shock Peening Effect on Fatigue of Powder Bed Fusion Materials

残余应力 喷丸 材料科学 选择性激光熔化 极限抗拉强度 休克(循环) 激光喷丸 微观结构 喷丸 机械工程 计算机科学 结构工程 复合材料 工程类 内科学 医学
作者
Francisco Bumba,Paulo Morais,Rodolfo Lisboa Batalha,Vítor Anes,L. Reis
出处
期刊:Metals [MDPI AG]
卷期号:13 (10): 1762-1762 被引量:3
标识
DOI:10.3390/met13101762
摘要

The ability to manufacture parts with complex geometry by sending a model from CAD directly to the manufacturing machine has attracted much attention in the industry, driving the development of additive manufacturing technology. However, studies have shown that components manufactured using additive manufacturing technology have several problems, namely high tensile residual stresses, cracks, and voids, which are known to have a major impact on material performance (in service). Therefore, various post-treatment methods have been developed to address these drawbacks. Among the post-treatment techniques, laser shock peening (LSP) is currently considered one of the most efficient post-treatment technologies for improving the mechanical properties of materials. In practice, LSP is responsible for eliminating unfavorable tensile residual stresses and generating compressive residual stresses (CRS), which result in higher resistance to crack initiation and propagation, thus increasing component life. However, since CRS depends on many parameters, the optimization of LSP parameters remains a challenge. In this paper, a general overview of AM and LSP technology is first provided. It then describes which parameters have a greater influence during powder bed melting and LSP processing and how they affect the microstructure and mechanical properties of the material. Experimental, numerical, and analytical optimization approaches are also presented, and their results are discussed. Finally, a performance evaluation of the LSP technique in powder bed melting of metallic materials is presented. It is expected that the analysis presented in this review will stimulate further studies on the optimization of parameters via experimental, numerical, and perhaps analytical approaches that have not been well studied so far.
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