Wu Sung-Heng, Tariq Usman, Joy Ranjit, Sparks Todd, Flood Aaron, Liou Frank
Department of Mechanical Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA.
Product Innovation and Engineering LLC, St. James, MO 65559, USA.
Materials (Basel). 2024 Mar 26;17(7):1498. doi: 10.3390/ma17071498.
In recent decades, laser additive manufacturing has seen rapid development and has been applied to various fields, including the aerospace, automotive, and biomedical industries. However, the residual stresses that form during the manufacturing process can lead to defects in the printed parts, such as distortion and cracking. Therefore, accurately predicting residual stresses is crucial for preventing part failure and ensuring product quality. This critical review covers the fundamental aspects and formation mechanisms of residual stresses. It also extensively discusses the prediction of residual stresses utilizing experimental, computational, and machine learning methods. Finally, the review addresses the challenges and future directions in predicting residual stresses in laser additive manufacturing.
近几十年来，激光增材制造发展迅速，并已应用于包括航空航天、汽车和生物医学行业在内的各个领域。然而，制造过程中形成的残余应力会导致打印部件出现缺陷，如变形和开裂。因此，准确预测残余应力对于防止部件失效和确保产品质量至关重要。这篇综述涵盖了残余应力的基本方面和形成机制。它还广泛讨论了利用实验、计算和机器学习方法预测残余应力的情况。最后，该综述阐述了激光增材制造中残余应力预测面临的挑战和未来发展方向。
