Chinese Journal of Lasers, Volume. 49, Issue 16, 1602018(2022)

Process Parameter Optimization for Laser-Arc Hybrid Welding of Low-Carbon Bainite Steel Based on Response Surface Methodology

Jie Yu, Chuang Cai*, Jia Xie, Ying Liang, Jiasen Huang, Zhijie Liu, and Yonghong Liu
Author Affiliations
  • Key Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
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    Figures & Tables(13)
    Schematics of laser-arc hybrid welding system and groove
    Schematic of weld measurement area
    Influence curves of weld forming coefficient. (a) Scattered point distribution; (b) single factor disturbance curves; (c) contour lines characterizing interactions of P and Vw with ψ;(d) response surface characterizing interactions of P and Vw with ψ;(e) contour lines characterizing interactions of P and Vf with ψ;(f) response surface characterizing interactions of P and Vf with ψ;(g) contour lines characterizing interactions of Vw and Vf with ψ;(h) response surface characterizing interactions of Vw and Vf with ψ
    Influence curves of laser area ratio. (a) Scattered point distribution; (b) single factor disturbance curves; (c) contour lines characterizing interactions of P and Vw with R; (d) response surface characterizing interactions of P and Vw with R; (e) contour lines characterizing interactions of P and Vf with R; (f) response surface characterizing interactions of P and Vf with R; (g) contour lines characterizing interactions of Vw and Vf with R; (h) response surface characterizing interactions of Vw and Vf with R
    Typical weld morphologies under optimized process parameters (P=4250 W, Vw=16 mm/s, and Vf=13 m/min). (a) Front side; (b) back side; (c) cross-section
    • Table 1. Chemical compositions of low-carbon bainite steel and welding wire (mass fraction, %)

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      Table 1. Chemical compositions of low-carbon bainite steel and welding wire (mass fraction, %)

      ElementCSiMnCrNiMoCuNbTiCoFe
      Low-carbon bainite steel0.040.31.350.330.530.340.350.030.02<0.01Bal.
      Welding wire0.060.371.490.342.840.350.1Bal.
    • Table 2. Process parameter levels for laser-MAG hybrid welding of low-carbon bainite steel

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      Table 2. Process parameter levels for laser-MAG hybrid welding of low-carbon bainite steel

      Experimental factorValue
      Low levelZero levelHigh level
      P/W400042504500
      Vw/(mm·s-1)141618
      Vf/(m·min-1)121314
    • Table 3. Statistics of test parameters and response values for laser-MAG hybrid welding of low-carbon bainite steel

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      Table 3. Statistics of test parameters and response values for laser-MAG hybrid welding of low-carbon bainite steel

      Process No.Laser power P/WWelding speed Vw /(mm·s-1)Wire feeding speed Vf /(m·min-1)Weld forming coefficient ψLaser area ratio R
      1400016.0014.001.1240.2355
      2425016.0013.001.2780.2589
      3425014.0012.001.4700.2119
      4400014.0013.001.4060.3054
      5400016.0012.001.0090.1634
      6425016.0013.001.1160.2280
      7450016.0014.001.2830.2806
      8425018.0012.000.8740.2196
      9425014.0014.001.5740.6008
      10400018.0013.000.8840.1103
      11425016.0013.001.0890.2093
      12450016.0012.001.0140.1830
      13425016.0013.001.0640.1899
      14450018.0013.000.9190.1310
      15425016.0013.001.1000.2199
      16450014.0013.001.2160.2562
      17425018.0014.001.0680.1928
    • Table 4. Weld formation and cross-sectional morphology of low-carbon bainitic steel joint by laser-MAG hybrid welding

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      Table 4. Weld formation and cross-sectional morphology of low-carbon bainitic steel joint by laser-MAG hybrid welding

      Process No.Front appearance of weld surfaceCross-sectional morphologyWeld formation
      2Excess weld accumulation
      5Lack of penetration
      6Good form
      9Excessive penetration and overlap
      13Undercut
      15Pores
      16Good form
      17Undercut
    • Table 5. Variance analysis of models for weld forming coefficient model

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      Table 5. Variance analysis of models for weld forming coefficient model

      SourceSum of squaresDegree of freedomMean squareF valueP valueReliability
      Model0.5990.0668.800.0045Significant
      A1.075×10-511.075×10-51.434×10-30.9709 
      B0.4610.4661.440.0001 
      C0.05810.0587.760.0271 
      AB0.01310.0131.700.0958 
      AC5.863×10-315.863×10-30.780.4060 
      BC2.015×10-312.015×10-30.270.6203 
      A20.02810.0283.700.2335 
      B20.01410.0141.890.2118 
      C20.01510.0151.960.2041 
      Residual0.05377.502×10-3   
      Lack of fitting value0.02337.818×10-31.080.4538Not significant
      Pure error0.02947.266×10-3   
      Total0.65160.066   
    • Table 6. Variance analysis of models for laser area ratio model

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      Table 6. Variance analysis of models for laser area ratio model

      SourceSum of squaresDegree of freedomMean squareF valueP valueReliability
      Model0.1990.0216.610.0105Significant
      A1.638×10-411.638×10-40.0520.8254 
      B0.1110.1136.150.0005 
      C0.03910.03912.630.0093 
      AB1.222×10-311.222×10-30.390.5516 
      AC1.626×10-411.626×10-40.0520.8261 
      BC8.621×10-318.621×10-32.760.0989 
      A20.01110.0113.620.1407 
      B24.135×10-314.135×10-31.320.2878 
      C29.002×10-319.002×10-32.880.1334 
      Residual0.02273.125×10-3   
      Lack of fitting value0.01936.427×10-39.920.0252Not significant
      Pure error2.591×10-346.476×10-4   
      Total0.2116    
    • Table 7. Optimized process parameter range for laser-MAG hybrid welding of low-carbon bainite steel

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      Table 7. Optimized process parameter range for laser-MAG hybrid welding of low-carbon bainite steel

      Response indicatorLaser power P /WWelding speed Vw /(mm·s-1)Wire feeding speed Vf /(m·min-1)
      ψ=1.1-1.24000-430015.3-16.312.3-13.6
      R=0.2-0.34120-430014.8-16.411.5-13.6
      Optimal interval4120-430015.3-16.312.3-13.6
    • Table 8. Statistical test results of ψ and R

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      Table 8. Statistical test results of ψ and R

      Test parameterψRAverage valueAccuracy /%
      P /WVw /(mm·s-1)Vf /(m·min-1)ψRψR
      425016.0131.150.241.190.2695.092.3
      420015.5131.230.27
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    Jie Yu, Chuang Cai, Jia Xie, Ying Liang, Jiasen Huang, Zhijie Liu, Yonghong Liu. Process Parameter Optimization for Laser-Arc Hybrid Welding of Low-Carbon Bainite Steel Based on Response Surface Methodology[J]. Chinese Journal of Lasers, 2022, 49(16): 1602018

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    Paper Information

    Category: laser manufacturing

    Received: Nov. 10, 2021

    Accepted: Jan. 14, 2022

    Published Online: Jul. 28, 2022

    The Author Email: Cai Chuang (caichuang@home.swjtu.edu.cn)

    DOI:10.3788/CJL202249.1602018

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