APPLIED LASER, Volume. 44, Issue 2, 34(2024)

Research on Extraction Method of Molten pool Morphology in Laser cladding Based on Deep Learning

yong yaowei1、*, zhang Weiwei1, Wang Gang1, zhang shuai1, and Liu Haibo2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(20)

    [1] [1] BAI H M, FAN N F, TANG L L. Research on application of laser cladding technology in hydraulic support remanufacturing[J]. Coal Mine Machinery, 2022, 43(6): 138-141.

    [2] [2] JIAN F L, LIU Q, YANG Q, et al. Application of laser cladding technology in remanufacturing of oil drilling equipment[J]. Surface Engineering & Remanufacturing, 2022, 22(3): 21-25.

    [3] [3] FU Y F, WANG B, LIU J Z, et al. Experimental study on the application of laser cladding technology to repair wheel hub of 251 gas turbine[J]. Metallurgical Power, 2022, 41(3): 29-32.

    [4] [4] LUO M Y, LIANG Z, MENG H C. Application of laser cladding technology in repairing mill housing frame[J]. China High and New Technology, 2022(2): 72-74.

    [5] [5] WANG Z, GONG W Y, QI J F, et al. Present research on design philosophy and technique about additive manufacturing[J]. New Technology & New Process, 2017(10): 31-35.

    [6] [6] FENG Z J. Study on molten pool monitoring system based on accurate remanufacturing of key components of shield machine by laser cladding[D]. Xuzhou: China University of Mining and Technology, 2019.

    [7] [7] YUAN Y H, YANG Q, YAN Z H, et al. Research and measurement of surface temperature field in laser cladding forming molten pool[J]. Laser & Infrared, 2018, 48(8): 985-992.

    [8] [8] YANG Q. Study of size detection and control of molten pool during laser cladding[D]. Hefei: Hefei University of Technology, 2019.

    [9] [9] LIU X Y, LIU W W, TANG Z J, et al. On-line monitoring and analysis of laser cladding molten pool features based on LabVIEW[J]. Applied Laser, 2019, 39(4): 535-543.

    [10] [10] TANG Z J, LIU W W, YAN Z R, et al. Study on evolution behavior of geometrical accuracy based on dynamic characteristics of molten pool in laser-based direct energy deposition[J]. Journal of Mechanical Engineering, 2019, 55(15): 39-47.

    [11] [11] LIU L S. Design and implementation of welding pool edge detection system based on FPGA[D]. Chongqing: Chongqing University of Technology, 2022.

    [12] [12] XIE F, ZHU T F, YANG J Q, et al. Detection method of molten pool shape based on additional loss function of edge included angle[J]. Transactions of the China Welding Institution, 2021, 42(7): 82-90.

    [13] [13] PENG H, GAO C M, ZHANG P, et al. Molten pool video monitoring and evaluation of LPBF[J]. Ordnance Industry Automation, 2022, 41(3): 63-67.

    [14] [14] MA L J. The research of identifying molten pool state of laser-based direct energy deposition based on deep learning[D]. Dalian: Dalian University of Technology, 2020.

    [15] [15] ZONG X W, ZHANG J, LIU W J. Microstructure and properties of Ti6Al4V, GH3536 and 316L stainless steel formed by laser selective melting[J]. Applied Laser, 2021, 41(1): 35-43.

    [16] [16] MA M. Research on state identification of cladding layer in metal laser cladding process[D]. Dalian: Dalian University of Technology, 2021.

    [17] [17] 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, 2018, 21: 598-604.

    [18] [18] LEI K Y. Research on detection and control of melt pool geometrical morphology in wide-beam laser cladding[D]. Wuhan: Wuhan University of Technology, 2019.

    [19] [19] WANG R J, SHI S T. Edge detection and behavior parameter analysis of laser cladding pool in additive manufacturing based on machine vision[J]. China Metal Bulletin, 2021(7): 209-210.

    [20] [20] ZHAO R H. Experimental research on laser cladding molten pool detection and process[D]. Yinchuan: Ningxia University,2021.

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    yong yaowei, zhang Weiwei, Wang Gang, zhang shuai, Liu Haibo. Research on Extraction Method of Molten pool Morphology in Laser cladding Based on Deep Learning[J]. APPLIED LASER, 2024, 44(2): 34

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    Paper Information

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    Received: Sep. 6, 2022

    Accepted: --

    Published Online: Aug. 16, 2024

    The Author Email: yaowei yong (yywnXu@163.com)

    DOI:10.14128/j.cnki.al.20244402.034

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