TY - JOUR TI - Defects and anomalies in powder bed fusion metal additive manufacturing AU - Mostafaei, Amir AU - Zhao, Cang AU - He, Yining AU - Reza Ghiaasiaan, Seyed AU - Shi, Bo AU - Shao, Shuai AU - Shamsaei, Nima AU - Wu, Ziheng AU - Kouraytem, Nadia AU - Sun, Tao AU - Pauza, Joseph AU - Gordon, Jerard V. AU - Webler, Bryan AU - Parab, Niranjan D. AU - Asherloo, Mohammadreza AU - Guo, Qilin AU - Chen, Lianyi AU - Rollett, Anthony D. T2 - Current Opinion in Solid State and Materials Science AB - Metal additive manufacturing is a disruptive technology that is revolutionizing the manufacturing industry. Despite its unrivaled capability for directly fabricating metal parts with complex geometries, the wide realization of the technology is currently limited by microstructural defects and anomalies, which could significantly degrade the structural integrity and service performance of the product. Accurate detection, characterization, and prediction of these defects and anomalies have an important and immediate impact in manufacturing fullydense and defect-free builds. This review seeks to elucidate common defects/anomalies and their formation mechanisms in powder bed fusion additive manufacturing processes. They could arise from raw materials, processing conditions, and post-processing. While defects/anomalies in laser welding have been studied exten­ sively, their formation and evolution remain unclear. Additionally, the existence of powder in powder bed fusion techniques may generate new types of defects, e.g., porosity transferring from powder to builds. Practical strategies to mitigate defects are also addressed through fundamental understanding of their formation. Such explorations enable the validation and calibration of models and ease the process qualification without costly trial-and-error experimentation. DA - 2022/04// PY - 2022 DO - 10.1016/j.cossms.2021.100974 DP - DOI.org (Crossref) VL - 26 IS - 2 SP - 100974 J2 - Current Opinion in Solid State and Materials Science LA - en SN - 13590286 UR - https://linkinghub.elsevier.com/retrieve/pii/S1359028621000772 Y2 - 2022/02/13/21:17:09 ER -