Laser & Optoelectronics Progress, Volume. 57, Issue 17, 171405(2020)

Residual Stress Analysis and Shape Optimization of Laser Cladded Ni-Based Alloy Coatings

Lunxiang Li1、*, Deqiang Zhang1, Jinhua Li1, and Wenqiang Sun2
Author Affiliations
  • 1Faculty of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou, Liaoning 121001, China
  • 2Engineering Training Center, Liaoning University of Technology, Jinzhou, Liaoning 121001, China
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    Figures & Tables(17)
    Schematic of longitudinal section of cladding layer
    Test results
    Geometric model
    Meshing effect
    Cross-sectional morphology of molten pool
    Sectional morphology of cladding layer
    Schematic of path location
    Residual stress distributions on two paths. (a) path 1; (b) path 2
    • Table 1. Chemical compositions of 45 steel (mass fraction, %)

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      Table 1. Chemical compositions of 45 steel (mass fraction, %)

      ElementCSiMnPSCrNiFe
      Value0.420-0.5000.170-0.3700.500-0.800≤0.035≤0.035≤0.250≤0.280Bal.
    • Table 2. Chemical compositions of Ni60 powder (mass fraction, %)

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      Table 2. Chemical compositions of Ni60 powder (mass fraction, %)

      ElementCCrSiWFeBNi
      Value0.8015.504.003.0015.003.50Bal.
    • Table 3. Cladding parameters and levels

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      Table 3. Cladding parameters and levels

      VariableNotationUnitValue
      Level -2Level -1Level 0Level 1Level 2
      Laser powerLPW12001300140015001600
      Scanning speedSSmm·s-14.04.55.05.56.0
      Power feeding voltagePFVV7.07.58.08.59.0
      Defocusing amountDAmm1314151617
    • Table 4. Relationship between powder feeding voltage and powder feeding rate

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      Table 4. Relationship between powder feeding voltage and powder feeding rate

      Power feeding voltage /V7891011121314151617181920
      Powder feeding rate /(g·min-1)6791011131617182122242425
    • Table 5. Central composite design and results

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      Table 5. Central composite design and results

      ExperimentNo.Laserpower /WScanning speed /( mm·s-1)Power feedingvoltage /VDefocusingamount /mmWidth-heightratioDilutionrate /%
      115005.57.5146.9240.16
      213004.58.5142.8726.85
      313004.57.5143.8731.06
      412005.08.0157.1034.36
      513005.57.5146.5041.58
      614005.08.0133.9834.80
      716005.08.0156.7848.00
      814006.08.0159.9547.57
      915004.57.5144.3043.13
      1014005.08.0156.6746.20
      1115005.58.5169.3651.53
      1214005.08.0157.3150.29
      1313004.57.5168.2141.13
      1414005.07.0159.8849.81
      1514005.08.01710.4254.16
      1615004.58.5167.1651.38
      1713005.57.51611.4346.25
      1814005.09.0158.2344.48
      1914005.08.0157.0148.93
      2013005.58.5145.3535.94
      2115004.58.5143.2035.80
      2213004.58.5166.2641.75
      2315005.57.51610.4751.91
      2415004.57.5168.9954.65
      2515005.58.5145.9637.44
      2614005.08.0156.2251.98
      2714004.08.0153.1740.67
      2814005.08.0155.8947.71
      2913005.58.5168.2544.64
      3014005.08.0155.5049.90
    • Table 6. Variance analysis of width-height ratio

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      Table 6. Variance analysis of width-height ratio

      SourceSum of squaresMean squareF-valueP-valueReliability
      Model144.7736.1984.13<0.0001Significant
      S45.2145.21105.09<0.0001
      V10.1110.1123.51<0.0001
      D80.8180.81187.86<0.0001
      V28.648.6420.080.0001
      Residual10.750.43
      Lack-of-fit value8.390.430.880.6232Not significant
      Pure error2.370.47
      Total155.53
      R2=0.9309RPRED2=0.8861
      RADJ2=0.9198Signal-to-noise ratio: 30.154
    • Table 7. Variance analysis of dilution rate

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      Table 7. Variance analysis of dilution rate

      SourceSum of squaresMean squareF-valueP-valueReliability
      Model1424.73129.5231.34<0.0001Significant
      P294.56294.5671.72<0.0001
      S58.5958.5914.180.0014
      V51.6351.6312.490.0024
      D704.17704.17170.39<0.0001
      P×S62.1762.1715.040.0011
      P×D13.3213.323.220.0894
      V×D14.5514.553.520.0769
      P2149.63149.6336.20<0.0001
      S270.2770.2717.000.0006
      V219.5619.564.730.0432
      D262.5962.5915.150.0011
      Residual74.394.13
      Lack-of-fit value50.374.131.000.5456Not significant
      Pure error20.694.14
      Total1499.12
      R2=0.9504RPRED2=0.8462
      RADJ2=0.9201Signal-to-noise ratio: 19.478
    • Table 8. Optimization criteria

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      Table 8. Optimization criteria

      ParameterCriterionLimit
      LowUpper
      Laser powerIn range1200 W1600 W
      Scanning speedIn range1 mm·s-13 mm·s-1
      Powder feeding voltageIn range7 V9 V
      Defocusing amountIn range13 mm17 mm
      W/HIn range36
      ηIn range30%40%
    • Table 9. Optimization results and validation

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      Table 9. Optimization results and validation

      ParameterPredicted result of model 1Predicted result of model 2Predicted result of model 3Actual result
      LP /W1286.991281.5313381290
      SS /(mm·s-1)3.733.873.443.70
      PFV /V8.328.237.388.30
      DA /mm14.4514.2313.8214.50
      W /H4.5084.5064.4194.800
      η /%35.12535.16535.13538.000
      Desirability of model0.8630.8610.830
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    Lunxiang Li, Deqiang Zhang, Jinhua Li, Wenqiang Sun. Residual Stress Analysis and Shape Optimization of Laser Cladded Ni-Based Alloy Coatings[J]. Laser & Optoelectronics Progress, 2020, 57(17): 171405

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    Paper Information

    Category: Lasers and Laser Optics

    Received: Dec. 11, 2019

    Accepted: Jan. 10, 2020

    Published Online: Sep. 1, 2020

    The Author Email: Li Lunxiang (247448656@qq.com)

    DOI:10.3788/LOP57.171405

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