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Laser & Optoelectronics Progress, Volume. 61, Issue 5, 0514004(2024)

Multi-Objective Optimization of Laser Remanufacturing Process Parameters for Steel Surface of Hydraulic Prop

Yanyan Wang1、*, Wei He1, and Linsen Shu1,2
Author Affiliations
  • 1School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong 723000, Shaanxi, China
  • 2Shaanxi Key Laboratory of Industrial Automation, Hanzhong 723000, Shaanxi, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (13)
    References (15)
    Cited By (1)
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    Paper Information
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    Figures & Tables(10)
    Morphologies of the tested cladding layers

    Fig. 1. Morphologies of the tested cladding layers

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    Residual graph of the comprehensive evaluation ξ model

    Fig. 2. Residual graph of the comprehensive evaluation ξ model

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    Flowchart of ACPSO algorithm

    Fig. 3. Flowchart of ACPSO algorithm

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    Iterative convergence curve of ACPSO algorithm

    Fig. 4. Iterative convergence curve of ACPSO algorithm

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    Section morphology of sample S1, S11 and Q

    Fig. 5. Section morphology of sample S1, S11 and Q

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    Comparison results of response values of sample S1, S11 and Q

    Fig. 6. Comparison results of response values of sample S1, S11 and Q

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    Microstructures of sample S1, S11 and Q

    Fig. 7. Microstructures of sample S1, S11 and Q

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    • Table 1. Experimental design and results

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      Table 1. Experimental design and results

      SampleProcess parameterEvaluation indexComprehensive evaluation value ξ
      p /Wv /（mm·s-1）c /（g·min-1）q1 /%q2 /μmq3 /HV0.5
      S190051.68.17512190.6303.433
      S290081.814.01556190.4327.232
      S3900112.010.56575207.5326.755
      S4900142.222.21592215.9338.694
      S5120051.83.42588197.3323.859
      S6120081.626.68660206.4355.067
      S71200112.216.39602196.9332.501
      S81200142.015.52538221.6323.824
      S9150052.09.98744201.5288.910
      S10150082.26.02181206.8321.108
      S111500111.69.50497201.6306.449
      S121500141.825.09327220.2271.610
      S13180052.21.94527215.3323.427
      S14180082.09.72675211.7354.170
      S151800111.827.56736221.1280.457
      S161800141.626.17757228.9298.117

    • Table 2. Eigenvalues of the correlation coefficient matrix R

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      Table 2. Eigenvalues of the correlation coefficient matrix R

      CompositionλContribution rate /%Cumulative contribution rate /%
      11.66155.37755.377
      20.89029.65085.027
      30.44914.973100.000

    • Table 3. Analysis results of variance of comprehensive evaluation value ξ

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      Table 3. Analysis results of variance of comprehensive evaluation value ξ

      Source of varianceFPаr2Rsn
      ξ7.970.00080.050.96159.24
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    Yanyan Wang, Wei He, Linsen Shu. Multi-Objective Optimization of Laser Remanufacturing Process Parameters for Steel Surface of Hydraulic Prop[J]. Laser & Optoelectronics Progress, 2024, 61(5): 0514004

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    Paper Information

    Category: Lasers and Laser Optics

    Received: Mar. 16, 2023

    Accepted: Apr. 28, 2023

    Published Online: Mar. 12, 2024

    The Author Email: Yanyan Wang (wangyanyanustb@163.com)

    DOI:10.3788/LOP230876

    CSTR:32186.14.LOP230876

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology