Journal of Applied Optics, Volume. 43, Issue 3, 532(2022)

Morphology identification of dendrites of laser cladding layer based on deep learning

Shirui GUO... Kaixiang WANG, Lujun CUI, Xiaolei LI, Bo ZHENG and Yongqian CHEN |Show fewer author(s)
Author Affiliations
  • School of Mechanical and Electrical Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
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    References(6)

    [5] Shitang ZHANG, Jiansong ZHOU, Baogang GUO, et al. Friction and wear behavior of laser cladding Ni/hBN self-lubricating composite coating. Materials Science and Engineering A, 491, 47-54(2008).

    [6] M ASTA, C BECKERMANN, A KARMA, et al. Solidification microstructures and solid-state parallels: recent developments, future directions. Acta Materialia, 57, 941-971(2009).

    [13] Kaiqiang LI, Tao LI, Min MA, et al. Laser cladding state recognition and crack defect diagnosis by acoustic emission signal and neural network. Optics & Laser Technology, 142, 107161(2021).

    [18] [18] RONNEBERGER O, FISCHER P, BROX T. U: convolutional wks f biomedical image segmentation[C]Medical Image Computing ComputerAssisted Intervention(MICCAI 2015), Berlin, German: Springer, 2015: 234241.

    [20] [20] WOO S, PARK J, LEE J Y, et al. CBAM: convolutional block attention module[C]Computer Vision – ECCV, Berlin, German: Springer, 2018, 2018: 319.

    [21] D MASTERS, C LUSCHI. Revisiting small batch training for deep neural networks. arXiv, 1804, 07612(2018).

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    Shirui GUO, Kaixiang WANG, Lujun CUI, Xiaolei LI, Bo ZHENG, Yongqian CHEN. Morphology identification of dendrites of laser cladding layer based on deep learning[J]. Journal of Applied Optics, 2022, 43(3): 532

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    Paper Information

    Category: LASER TECHNOLOGY

    Received: Nov. 26, 2021

    Accepted: --

    Published Online: Jun. 7, 2022

    The Author Email:

    DOI:10.5768/JAO202243.0307001

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