[1] Gu D D, Zhang H M, Chen H Y et al. Laser additive manufacturing of high-performance metallic aerospace components[J]. Chinese Journal of Lasers, 47, 0500002(2020).

[2] Zeng X Y. Development status and prospect of laser additive manufacturing technology and equipment for metal parts[J]. Maschinen Markt, 10-11(2021).

[3] Zhang J L, Li F L, Zhang H J. Research progress on preparation of metallic materials by selective laser melting[J]. Laser & Optoelectronics Progress, 56, 100003(2019).

[4] Everton S K, Hirsch M, Stravroulakis P et al. Review of in situ process monitoring and in situ metrology for metal additive manufacturing[J]. Materials & Design, 95, 431-445(2016).

[5] Chan Y F, Chen C J, Zhang M. Review of on-line monitoring research on metal additive manufacturing process[J]. Materials Reports, 33(2019).

[6] Chua Z Y, Ahn I H, Moon S K. Process monitoring and inspection systems in metal additive manufacturing: status and applications[J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 4, 235-245(2017).

[7] Gunenthiram V, Peyre P, Schneider M et al. Analysis of laser-melt pool-powder bed interaction during the selective laser melting of a stainless steel[J]. Journal of Laser Applications, 29, 022303(2017).

[8] Gunenthiram V, Peyre P, Schneider M et al. Experimental analysis of spatter generation and melt-pool behavior during the powder bed laser beam melting process[J]. Journal of Materials Processing Technology, 251, 376-386(2018).

[9] Kriczky D A, Irwin J, Reutzel E W et al. 3D spatial reconstruction of thermal characteristics in directed energy deposition through optical thermal imaging[J]. Journal of Materials Processing Technology, 221, 172-186(2015).

[10] Stutzman C B, Nassar A R, Reutzel E W. Multi-sensor investigations of optical emissions and their relations to directed energy deposition processes and quality[J]. Additive Manufacturing, 21, 333-339(2018).

[11] Shevchik S A, Kenel C, Leinenbach C et al. Acoustic emission for in situ quality monitoring in additive manufacturing using spectral convolutional neural networks[J]. Additive Manufacturing, 21, 598-604(2018).

[12] Wasmer K, Le-Quang T, Meylan B et al. In situ quality monitoring in AM using acoustic emission: a reinforcement learning approach[J]. Journal of Materials Engineering and Performance, 28, 666-672(2019).

[13] Zhang P Y, Zhou X, Ma H Q et al. Anomaly detection in laser metal deposition with photodiode-based melt pool monitoring system[J]. Optics & Laser Technology, 144, 107454(2021).

[14] Hu J. Analysis of working principle and application characteristics of photodiode[J]. Technology and Market, 23, 40-41(2016).

[15] Coeck S, Bisht M, Plas J et al. Prediction of lack of fusion porosity in selective laser melting based on melt pool monitoring data[J]. Additive Manufacturing, 25, 347-356(2019).

[16] Duan Y C, Wang X D, Zhou X et al. Study on radiation intensity signal of powder bed laser forming molten pool by machine learning[J/OL]. Acta Aeronautica et Astronautica Sinica, 1-11. http://kns.cnki.net/kcms/detail/11.1929.V.20210803.1323.012.html

[17] Zhang K, Liu T T, Liao W H et al. Photodiode data collection and processing of molten pool of alumina parts produced through selective laser melting[J]. Optik, 156, 487-497(2018).

[18] Du D Z[D]. Study on laser radiation monitoring technology of selective melting pool for ceramic materials, 1-80(2018).

[19] Cao L C, Zhou Q, Han Y F et al. Review on intelligent monitoring of defects and process control of selective laser melting additive manufacturing[J]. Acta Aeronautica et Astronautica Sinica, 42, 524790(2021).

[20] Dou W H[D]. Research on the spatter behavior in laser powder bed fusion process, 1-83(2020).

[21] Zhang K[D]. Forming mechanism and experimental study on oxide ceramics manufactured by selective laser melting, 1-114(2019).

[22] Qian Q D, Wang Q T, Qian H Y. Theoretical study on material absorption during laser irradiation[C], 459-464(2019).

[23] Wei D H[D]. Dust removal system of selective laser melting equipment, 1-62(2019).

[24] Wang D, Ou Y H, Dou W H et al. Research progress on spatter behavior in laser powder bed fusion[J]. Chinese Journal of Lasers, 47, 0900001(2020).

[25] Liang P H, Tang Q, Yu Z Q et al. Gas field simulation and flow channel structure optimization of SLM[J]. China Mechanical Engineering, 30, 858-863(2019).

[26] Xiao J J, Xie Y S. Wind field simulation and optimization of 3D metal printing device with SLM[J]. The Magazine on Equipment Machinery, 34-39(2021).

[27] Chen K, Ji C, Cai Z X et al. A photoelectric switch sensor with sensitivity adjustable based on pulse duty cycle[J]. Chinese Journal of Sensors and Actuators, 30, 77-81(2017).