激光选区熔化增材制造缺陷智能监测与过程控制综述

doi:10.7527/S1000-6893.2020.24790

Abstract

Abstract: Selective Laser Melting (SLM) is considered to be one of the most promising additive manufacturing technologies and has been applied in aerospace, medical equipment and other fields. However, how to ensure the reliability of component quality and the repeatability of manufacturing is the largest challenge faced by SLM, which has been regarded as the biggest barrier to the development and industrial application of SLM and other metal additive manufacturing technologies. The main reason is that the defects generated during the SLM process are difficult to control. Therefore, process monitoring and real-time feedback control of SLM is an important research direction to solve this problem, which has become one of the research hotspots in academia and industry. Based on a literature survey in this field in the past ten years, the common metallurgical defects and their generation mechanisms in metal laser additive manufacturing are reviewed, and the signals generated during the metal additive manufacturing process and their monitoring methods, such as acoustic signal, optical signal, and thermal Signal, are described in detail. Signal data processing methods are summarized, including traditional statistical processing methods and emerging intelligent monitoring methods based on machine learning. Then, the quality control methods of metal additive manufacturing processes, including non-closed loop control and closed-loop control, are reviewed. Directions worthy of future research of SLM intelligent monitoring and control are also discussed.

Key words: Selective Laser Melting(SLM), additive manufacturing, process monitoring, machine learning, quality control

CLC Number:

V261.8
TG665

CAO Longchao, ZHOU Qi, HAN Yuanfei, SONG Bo, NIE Zhenguo, XIONG Yi, XIA Liang. Review on intelligent monitoring of defects and process control of selective laser melting additive manufacturing[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(10): 524790-524790.

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Review on intelligent monitoring of defects and process control of selective laser melting additive manufacturing

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