• Laser & Optoelectronics Progress
  • Vol. 61, Issue 5, 0514004 (2024)
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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    DOI: 10.3788/LOP230876 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Morphologies of the tested cladding layers
    Fig. 1. Morphologies of the tested cladding layers
    Residual graph of the comprehensive evaluation ξ model
    Fig. 2. Residual graph of the comprehensive evaluation ξ model
    Flowchart of ACPSO algorithm
    Fig. 3. Flowchart of ACPSO algorithm
    Iterative convergence curve of ACPSO algorithm
    Fig. 4. Iterative convergence curve of ACPSO algorithm
    Section morphology of sample S1, S11 and Q
    Fig. 5. Section morphology of sample S1, S11 and Q
    Comparison results of response values of sample S1, S11 and Q
    Fig. 6. Comparison results of response values of sample S1, S11 and Q
    Microstructures of sample S1, S11 and Q
    Fig. 7. Microstructures of sample S1, S11 and Q
    SampleProcess parameterEvaluation indexComprehensive evaluation value ξ
    p /Wv /(mm·s-1c /(g·min-1q1 /%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 1. Experimental design and results
    CompositionλContribution rate /%Cumulative contribution rate /%
    11.66155.37755.377
    20.89029.65085.027
    30.44914.973100.000
    Table 2. Eigenvalues of the correlation coefficient matrix R
    Source of varianceFPаr2Rsn
    ξ7.970.00080.050.96159.24
    Table 3. Analysis results of variance of comprehensive evaluation value ξ
    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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