[1] Liu M, Kumar A, Bukkapatnam S et al. A review of the anomalies in directed energy deposition (DED) processes & potential solutions-part quality & defects[J]. Procedia Manufacturing, 53, 507-518(2021).

[2] Svetlizky D, Das M, Zheng B L et al. Directed energy deposition (DED) additive manufacturing: physical characteristics, defects, challenges and applications[J]. Materials Today, 49, 271-295(2021).

[3] Masaylo D, Igoshin S, Popovich A et al. Effect of process parameters on defects in large scale components manufactured by direct laser deposition[J]. Materials Today: Proceedings, 30, 665-671(2020).

[4] Zhang X, Shen W J, Suresh V et al. In situ monitoring of direct energy deposition via structured light system and its application in remanufacturing industry[J]. The International Journal of Advanced Manufacturing Technology, 116, 959-974(2021).

[5] Stehmar C, Gipperich M, Kogel-Hollacher M et al. Inline optical coherence tomography for multidirectional process monitoring in a coaxial LMD-w process[J]. Applied Sciences, 12, 2701(2022).

[6] Li Z W, Liu X J, Wen S F et al. In situ 3D monitoring of geometric signatures in the powder-bed-fusion additive manufacturing process via vision sensing methods[J]. Sensors, 18, 1180(2018).

[7] Wang Z Y, Liu R W, Sparks T et al. Stereo vision based hybrid manufacturing process for precision metal parts[J]. Precision Engineering, 42, 1-5(2015).

[8] Qin L Y, Zhao D X, Wang W et al. Geometric defects identification and deviation compensation in laser deposition manufacturing[J]. Optics & Laser Technology, 155, 108374(2022).

[9] Qin L Y, Xie Y K, Yang G et al. Detection and control of morphology deviation in laser deposition manufacturing[J]. Chinese Journal of Lasers, 48, 1002113(2021).

[10] Babkin K, Zemlyakov E, Ivanov S et al. Distortion prediction and compensation in direct laser deposition of large axisymmetric Ti-6Al-4V part[J]. Procedia CIRP, 94, 357-361(2020).

[11] Afazov S, Okioga A, Holloway A et al. A methodology for precision additive manufacturing through compensation[J]. Precision Engineering, 50, 269-274(2017).

[12] Chen L Q, Yao X L, Xu P et al. Rapid surface defect identification for additive manufacturing with in situ point cloud processing and machine learning[J]. Virtual and Physical Prototyping, 16, 50-67(2021).

[13] Garmendia I, Flores J, Madarieta M et al. Geometrical control of DED processes based on 3D scanning applied to the manufacture of complex parts[J]. Procedia CIRP, 94, 425-429(2020).

[14] García-Díaz A, Panadeiro V, Lodeiro B et al. OpenLMD, an open source middleware and toolkit for laser-based additive manufacturing of large metal parts[J]. Robotics and Computer-Integrated Manufacturing, 53, 153-161(2018).

[15] Biegler M, Graf B, Rethmeier M. In‑situ distortions in LMD additive manufacturing walls can be measured with digital image correlation and predicted using numerical simulations[J]. Additive Manufacturing, 20, 101-110(2018).

[16] Xie R S, Chen G Q, Zhao Y et al. In‑situ observation and numerical simulation on the transient strain and distortion prediction during additive manufacturing[J]. Journal of Manufacturing Processes, 38, 494-501(2019).

[17] Fan S, Guo Y R. Digital image correlation measurement based on pointwise moving least square fitting[J]. Laser & Optoelectronics Progress, 60, 0612001(2022).

[18] Cui L J, Li H Y, Guo S R et al. Laser cladding cracks recognition based on deep learning combined convolutional block attention module[J]. Laser & Optoelectronics Progress, 58, 2014001(2021).

[19] Lu X F, Ma L, Lin X et al. Numerical analysis of thermal distortion behavior for laser solid formed TC4 alloy[J]. Mechanical Science and Technology for Aerospace Engineering, 39, 1450-1456(2020).

[20] Heigel J C, Michaleris P, Palmer T A. In situ monitoring and characterization of distortion during laser cladding of Inconel® 625[J]. Journal of Materials Processing Technology, 220, 135-145(2015).

[21] Zhu Z D. The research on surface roughness and warping displacements of thin wall parts by laser additive manufacturing[D], 18(2020).

[22] Tan H, Chen Y G, Feng Z et al. A real-time method to detect the deformation behavior during laser solid forming of thin-wall structure[J]. Metals, 10, 508(2020).

[23] Sun L Y, Liu C C, Jiang M S et al. Fatigue crack prediction method for aluminum alloy based on fiber Bragg grating array[J]. Chinese Journal of Lasers, 48, 1306003(2021).

[24] Ma G Q, Liu L, Yu Z L et al. Point-cloud splicing technology for large-scale surface topography measurement system[J]. Chinese Journal of Lasers, 46, 0504001(2019).

[25] Lang W, Xue J P, Li C H et al. Splicing of multi-view point clouds based on calibrated parameters of turntable[J]. Chinese Journal of Lasers, 46, 1104003(2019).

[26] Li M Y, Ma K S, Wang F et al. Research on the preprocessing method of blade point cloud based on structured light on-machine measurement[J]. Chinese Journal of Scientific Instrument, 41, 55-66(2020).

[27] Zhao Y H, Zhao J B, Wang Z G. Research on warp distortion of Inconel 625 nickel-based alloys fabricated by laser melting additive manufacturing[J]. Vacuum, 57, 88-93(2020).

[28] Sun L, Ren X B, He J Y et al. Numerical investigation of a novel pattern for reducing residual stress in metal additive manufacturing[J]. Journal of Materials Science & Technology, 67, 11-22(2021).

[29] Wang X, Wang W, Yang G et al. Dimensional effect on thermo-mechanical evolution of laser depositing thin-walled structure[J]. Acta Metallurgica Sinica, 56, 745-752(2020).

[30] Liu X Y, Wang J, Chang Q F et al. Fast 3D reconstruction of point cloud based on improved greedy projection triangulation algorithm[J]. Laser & Infrared, 52, 763-770(2022).

[31] Li P, Yang T P, Li S et al. Direct laser fabrication of nickel alloy samples[J]. International Journal of Machine Tools and Manufacture, 45, 1288-1294(2005).

[32] Yin J, Zhang Y W, Zhao Y H. Research on cracking behavior of Inconel 625 Ni based superalloy parts by laser additive manufacturing[J]. Hot Working Technology, 50, 73-76(2021).

[33] Shao Y C, Chen C J, Zhang M et al. Research on crack issue of Deloro 40 Ni alloys prototype fabricated by laser additive manufacturing[J]. Applied Laser, 36, 397-402(2016).