[1] |
ZHOU X M, TIAN Q H, DU Y X, et al. Simulation of grain growth in single-pass two-layer deposition of arc welding based additive forming process[J]. Chinese Journal of Mechanical Engineering, 2018, 54(22):100-108(in Chinese). |
[2] |
FENG Y, ZHANG P X, JIA J L. Research progress of wire + arc additive manufacturing in past two years[J]. Hot Working Technology, 2018, 47(21):23-26(in Chinese). |
[3] |
XIONG J, XUE Y G, CHEN H, et al. Status and development prospects of forming control technology in arc-based additive manufacturing[J].Electric Welding Machine, 2015, 45(9):45-50(in Chinese). |
[4] |
RÍOS S, COLEGROVE P A, WILLIAMS S W. Metal transfer modes in plasma wire+arc additive manufacture[J]. Journal of Materials Processing Technology, 2018, 264(8):45-54. |
[5] |
SHI J, LI F, CHEN S, et al. Effect of in-process active cooling on forming quality and efficiency of tandem GMAW-based additive manufacturing[J]. International Journal of Advanced Manufacturing Technology, 2019, 101(5/8):1349-1356. |
[6] |
XIAO C J, ZHANG J Ch, WEI Y, et al. Measurement of glass bubble size based on laser vision principle[J]. Laser Technology, 2015, 39(3):391-394(in Chinese). |
[7] |
MA N J, GAO X D, ZHOU X H, et al. Analysis of magneto-optical imaging characteristics of weld defects under magnetic field excitation[J]. Laser Technology, 2018, 42(4): 525-520(in Chinese). |
[8] |
DU L L, GAO X D, ZHOU X H, et al. Study on the magneto-optical imaging law of laser welded crack under excitation of rotating magnetic field[J]. Laser Technology, 2018, 42(6): 780-784(in Chinese). |
[9] |
DING X D, GAO X D, ZHANG N F, et al. Measurement of welding formation based on laser vision sensing[J]. Manufacturing Technology & Machine Tool, 2018(12): 98-101(in Chinese). |
[10] |
DING Y, ZHANG X, KOVACEVIC R. A laser-based machine vision measurement system for laser forming[J]. Measurement, 2016, 82(10):345-354. |
[11] |
HUANG Y J, GAO X D, LIN S D. Influences of laser welding parameters on mechanical properties of polymethyl methacrylate and stainless-steel joints[J]. Chinese Journal of Lasers, 2017, 44(12):1202006(in Chinese). doi: 10.3788/CJL201744.1202006 |
[12] |
XIN X Ch, HUANG G Z, ZHANG J J, et al. Microstructure and mechanical properties of composite welded joints of high nitrogen steel[J]. Laser Technology, 2018, 42(4):476-481(in Chinese). |
[13] |
LU X, GU D, WANG Y, et al. Feature extraction of welding seam image based on laser vision[J]. IEEE Sensors Journal, 2018, 18(11):4715-4724. doi: 10.1109/JSEN.2018.2824660 |
[14] |
LI X D, LI X H, KHYAM M O, et al. Robust welding seam tracking and recognition[J]. IEEE Sensors Journal, 2017, 17(17):5609-5617. doi: 10.1109/JSEN.2017.2730280 |
[15] |
ZOU Y B, ZHOU W L, CHEN X Zh. Research of laser vision seam detection and tracking system based on depth hierarchical feature[J]. Chinese Journal of Lasers, 2017, 44(4):0402009(in Chinese). doi: 10.3788/CJL201744.0402009 |
[16] |
ZHANG B, CHANG S, WANG J, et al. Feature points extraction of laser vison weld seam based on genetic algorithm[J]. Chinese Journal of Lasers, 2019, 46(1):0102001(in Chinese). doi: 10.3788/CJL201946.0102001 |
[17] |
WANG W Ch, GAO X D, DING X D, et al. Detection of non-groove butt joint feature based on corner principle[J]. Transactions of the China Welding Institution, 2018, 39(9):61-64(in Chinese). |
[18] |
WANG Z H, ZHANG Zh W. Adaptive direction template method to extract the center of structured light[J]. Laser Journal, 2017, 38(1):60-64(in Chinese). |
[19] |
ZHAN W W, LU H Y, WANG X, et al. Experimental study on sub-pixel subdivision location of linear CCD based on gray weighted centroid algorithm[J]. Optical Technique, 2018, 44(4):476-479(in Chinese). |
[20] |
YANG P Ch. Research on laser displacement 3-D reconstruction measurement method for weld surface defects[D]. Guangzhou: Guangdong University of Technology, 2018: 47-50(in Chinese). |