APPLIED LASER, Volume. 42, Issue 11, 57(2022)

Research on Application of Neural Network in Laser Engraving Textured Plunger

Chen Linyan1, Wang Teng2,3, Wang Guorong2,3, and Zeng Xingchang4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(8)

    [1] [1] HE X, LIAO W L, WANG G R, et al. Evaluation of hydrodynamic lubrication performance of textured surface from the perspective of skewness and kurtosis[J]. Industrial Lubrication and Tribology, 2018, 70(5): 829-837.

    [5] [5] LIANG C, MENG F J, LI J M, et al. Using CO2-laser bugle for ultrasonic bonding of thermoplastic microfluidic devices[J]. Journal of Materials Processing Technology, 2018, 252: 25-33.

    [6] [6] OBEIDI M A, MCCARTHY E, KAILAS L, et al. Laser surface texturing of stainless steel 316L cylindrical pins for interference fit applications[J]. Journal of Materials Processing Technology, 2018, 252: 58-68.

    [7] [7] XIONG J, LI Y J, LI R, et al. Influences of process parameters on surface roughness of multi-layer single-pass thin-walled parts in GMAW-based additive manufacturing[J]. Journal of Materials Processing Technology, 2018, 252: 128-136.

    [21] [21] YU J H, CHEN Y F. Prediction of simulation parameters of fiber laser cleaning Range hood based on BP neural network[J]. Journal of Physics: Conference Series, 2021, 1820(1): 012118.

    [22] [22] SONG C H, LIU L S, YANG Y Q, et al. Prediction on geometrical characteristics of laser energy deposition based on regression equation and neural network[J]. IFAC-PapersOnLine, 2020, 53(5): 89-96.

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    Chen Linyan, Wang Teng, Wang Guorong, Zeng Xingchang. Research on Application of Neural Network in Laser Engraving Textured Plunger[J]. APPLIED LASER, 2022, 42(11): 57

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    Paper Information

    Received: Nov. 22, 2021

    Accepted: --

    Published Online: May. 23, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20224211.057

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