Laser Technology, Volume. 46, Issue 3, 312(2022)
Laser welding steady status recognition method based on correlation analysis and neural network
[1] [1] WANG C Y, GAO X D, MA N J, et al. Magneto-optical imaging detection of laser welding defects under multi-directional magnetic field excitation[J]. Laser Technology, 2020,44(5):592-599(in Chin-ese).
[2] [2] SU Sh X, YU Y L, FEI W, et al. Research of characteristics of weld formation of aluminum alloy by high power fiber laser welding[J].Laser Technology, 2017, 41(3): 322-327(in Chinese).
[3] [3] LIU T Y, BAO J S, WANG J L, et al. Laser welding penetration state recognition method fused with timing information[J]. Chinese Journal of Lasers, 2021, 48(6):0602119(in Chinese).
[4] [4] CHEN Z Q, GAO X D, WANG Y, et al. Weldment back of weld width prediction based on neural network during high-power laser welding[J]. Transactions of The China Welding Institution, 2018, 39(11): 48-52(in Chinese).
[5] [5] HUANG Y, SHEN C, JI X R, et al. Correlation between gas-dyna-mic behaviour of a vapour plume and oscillation of keyhole size during laser welding of 5083 Al-alloy[J]. Journal of Materials Processing Technology, 2020,283:116721.
[6] [6] SUDER W, GANGULY S, WILLIAMS S, et al. Penetration and mixing of filler wire in hybrid laser welding[J]. Journal of Materials Processing Technology, 2021,291:117040.
[7] [7] FANG J F. Study on the mechanism of penetration mode for thin steel laser deep penetration welding[D]. Harbin:Harbin Institute of Technology, 2007:41-42(in Chinese).
[8] [8] WANG J, WANG C M, MENG X X, et al. Study on the periodic oscillation of plasma/vapour induced during high power fibre laser penetration welding[J]. Optics and Laser Technology, 2011,44(1):67-70.
[10] [10] VOLPP J. Impact of fume particles in the keyhole vapour[J].Applied Physics, 2019, A125(1):70-77.
[11] [11] LIU X F, JIA C B, WU C S, et al. Measurement of the keyhole entrance and topside weld pool geometries in keyhole plasma arc welding with dual CCD cameras[J]. Journal of Materials Processing Technology, 2017, 248:39-48.
[12] [12] ROOZBAHANI H, MARTTINEN P, SALMINEN A. Real-time monitoring of laser scribing process of CIGS solar panels utilizing high speed camera[J]. IEEE Photonics Technology Letters, 2018,30(20):1741-1744.
[13] [13] CAI W, WANG J Z, JIANG P, et al. Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: Acritical review of recent literature[J]. Journal of Manufacturing Systems, 2020, 57: 1-18.
[14] [14] WANG B C, HU S J, SUN L, et al. Intelligent welding system technologies: State-of-the-artreview and perspectives[J]. Journal of Manufacturing Systems, 2020, 56: 373-391.
[15] [15] GAO X D, LI Z M, WANG L, et al. Detection of weld imperfection in high-power disk laser welding based on association analysis of multi-sensing features[J]. Optics and Laser Technology,2019, 115:306-315.
[16] [16] MA G H, YU L S, YUAN H T, et al. A vision-based method for lap weld defects monitoring of galvanized steel sheets using convolutional neural network[J]. Journal of Manufacturing Processes, 2021, 64:130-139.
[17] [17] HUANG J F, XUE L, HUANG J Q, et al. GMAW penetration state prediction based on visual sensing[J].Journal of Mechanical Engineering, 2019, 55(17):41-47(in Chinese).
[18] [18] ZHANG Y X,YOU D Y,GAO X D, et al. Online monitoring of welding status based on a DBN model during laser welding[J].Engineering, 2019, 5(4):169-185.
[19] [19] MA X, DU Zh H, CAI Y, et al. Research on improved median filtering algorithm fused with gradient information[J].Transducer and Microsystem Technologies,2021,40(3):48-51(in Chinese).
[20] [20] PRAKASH A, STORER J, FLORENCIO D, et al. RePr: Improved Training of convolutional filters[C]// IEEE Conference on Computer Vision and Pattern Recognition. New York,USA:IEEE, 2019:10658-10667.
Get Citation
Copy Citation Text
HUANG Weiwei, YOU Deyong, GAO Xiangdong, ZHANG Yanxi, HUANG Yuhui. Laser welding steady status recognition method based on correlation analysis and neural network[J]. Laser Technology, 2022, 46(3): 312
Category:
Received: Mar. 31, 2021
Accepted: --
Published Online: Jun. 14, 2022
The Author Email: YOU Deyong (deyongyou@126.com)