激光粉末床熔融热−流耦合及微观组织演化模拟关键模型的研究进展

Laser powder bed fusion (LPBF) has opened up a new path for the preparation of high-performance complex parts. With the deep integration of multiple disciplines, including engineering mathematics, computer science, computational fluid dynamics and materials science, numerical simulation has gradually become a vital means for investigating the formation mechanisms of defects and the microstructural evolution in LPBF. It plays an extremely significant guiding role in advancing this technology. This paper reviewed the research progress on key numerical simulation models for thermal-fluid coupling and microstructural evolution in LPBF. It also summarized the current application status of advanced technologies, particularly machine learning, in these domains. Finally, the paper outlined the existing challenges associated with numerical simulation and machine learning techniques and discussed their future development directions.