Chinese Journal of Lasers, Volume. 46, Issue 3, 0302015(2019)

Process Parameters Optimization of Polystyrene Powder Selective Laser Sintering Based on Response Surface Methodology

Ran Yan1、*, Hao Li2, Junchao Li2、*, and Li Zhu1
Author Affiliations
  • 1 Mechanical college, Chongqing University of Technology, Chongqing 400054, China
  • 2 College of Materials science and engineering, Chongqing University, Chongqing 310027, China
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    Figures & Tables(13)
    Tested samples
    Residual normal probability map
    Comparison between predicted and actual values
    Influences of different factors on dimensional deviation rate
    Relationship of dimensional deviation rate versus laser power and scanning pitch. (a) Response surface diagram; (b) contour map
    Relationship of dimensional deviation rate versus laser power and layer thickness. (a) Response surface diagram; (b) contour map
    Relationship of dimensional deviation rate versus scanning pitch and layer thickness. (a) Response surface diagram; (b) contour map
    Relationship of dimensional deviation rate versus scanning pitch and scanning speed. (a) Response surface diagram; (b) contour map
    Relationship of dimensional deviation rate versus layer thickness and scanning speed. (a) Response surface diagram; (b) contour map
    • Table 1. Experimental factors and levels

      View table

      Table 1. Experimental factors and levels

      LevelFactor
      Laser power percentage /%Scan pitch /mmLayer thickness /mmScan speed /(mm·s-1)
      1300.120.151800
      2400.160.202000
      3500.200.252200
    • Table 2. Design parameters and results of experiments

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      Table 2. Design parameters and results of experiments

      No.Laser powerpercentage /%Scanpitch /mmLayerthickness /mmScanspeed /(mm·s-1)Error in X /%Error in Y /%
      1500.160.218000.8400.892
      2500.20.220000.7331.36
      3400.120.222000.3400.608
      4300.160.218000.3831.172
      5400.120.218000.9131.36
      6300.160.222000.8230.976
      7300.20.220000.9771.748
      8400.20.2520001.2171.768
      9300.160.1520000.8571.528
      10300.120.220000.0100.808
      11400.160.220000.4731.044
      12400.20.222000.5400.8
      13400.160.220000.4601.012
      14500.160.2520000.9031.408
      15400.160.1522000.7571.024
      16300.160.2520001.3371.792
      17400.160.1518001.2701.848
      18400.120.1520000.5800.924
      19400.160.2518000.6871.276
      20400.20.1520000.6171.372
      21500.160.1520000.4901.036
      22400.160.220000.7371.164
      23500.120.220000.3000.924
      24400.120.2520000.8871.224
      25500.160.222000.7730.648
      26400.160.2522000.6900.872
      27400.20.218000.5971.136
    • Table 3. Variance analysis results of optimized model

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      Table 3. Variance analysis results of optimized model

      Source of varianceSum of squareDegree of freedomMean square errorFPSignificant
      Model2.46110.225.090.0028Y
      A-Laser power0.4110.419.260.0088
      B-Scan pitch0.2010.204.620.0495
      C-Layer thickness0.03110.0310.700.4166
      D-Scan speed0.6310.6314.400.0020
      AB0.2110.214.880.0443
      AC2.916×10-312.916×10-30.0660.8005
      BC2.304×10-312.304×10-30.0520.8222
      BD0.04310.0430.980.3380
      CD0.04410.0441.000.3336
      C20.5810.5813.220.0027
      D20.08010.0801.830.1975
      Residual0.62140.044
      Lack of fit0.60120.0507.820.1188N
      Pure error0.01326.421×10-3
      Total3.0825
      R20.7999R2 adjustment0.6927RSNR8.562
    • Table 4. Optimal process plan and model verification

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      Table 4. Optimal process plan and model verification

      ConditionNo.Laser powerpercentage /%Scanningpitch /mmLayerthickness /mmScanning speed /(mm·s-1)PredictedS /%RealS /%Predictederror /%
      1500.120.1922000.538
      2500.120.192199.980.540
      Optimal3500.120.1822000.5410.535.0
      4500.120.2022000.558
      5500.120.1722000.568
      Verification6300.20.1520001.9581.8376.2
      7400.160.2518001.4361.393.2
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    Ran Yan, Hao Li, Junchao Li, Li Zhu. Process Parameters Optimization of Polystyrene Powder Selective Laser Sintering Based on Response Surface Methodology[J]. Chinese Journal of Lasers, 2019, 46(3): 0302015

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    Paper Information

    Category: laser manufacturing

    Received: Nov. 8, 2018

    Accepted: Dec. 21, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/CJL201946.0302015

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