Mathematical Problems in Engineering / 2018 / Article / Tab 6

Research Article

An Efficient Hybrid Approach of Finite Element Method, Artificial Neural Network-Based Multiobjective Genetic Algorithm for Computational Optimization of a Linear Compliant Mechanism of Nanoindentation Tester

Table 6

Response surface regression of displacement versus design parameters.

SourceDFSeq SSContributionAdj SSAdj MSF-ValueP-Value

Model3514382199.61%1438214109316.880.000
 Linear714251798.71%110807158301220.710.000
  l115480.38%43643633.630.000
  t11170.01%39392.990.091
  l2114117297.78%1098021098028467.460.000
  t216570.46%45445434.990.000
  l311020.07%56564.350.043
  t31140.01%12120.940.339
  170.01%330.230.635
 Square710640.74%106115211.690.000
  l1l11420.03%660.440.511
  t1t11740.05%990.700.409
  l2l219240.64%42142132.440.000
  t2t2120.00%000.000.997
  l3l31110.01%880.650.424
  t3t31110.01%550.360.551
   100.00%000.040.849
 2-Way Interaction212400.17%240110.880.614
  l1t1140.00%550.350.555
  l1l2100.00%000.020.902
  l1t2110.00%110.110.745
  l1l31160.01%16161.210.277
  l1t3110.00%110.100.748
  l1 120.00%220.170.682
  t1l21380.03%33332.540.118
  t1t2130.00%330.230.635
  t1l3100.00%110.050.820
  t1t3110.00%110.070.795
  t1 100.00%000.000.990
  l2t211390.10%13813810.630.002
  l2l3150.00%550.390.534
  l2t31160.01%16161.260.269
  l2 110.00%110.040.837
  t2l3150.00%550.420.520
  t2t3100.00%000.000.964
  t2 130.00%220.190.663
  l3t3110.00%110.110.743
  l3 120.00%220.130.722
  t3100.00%000.030.855
Error435580.39%55813
Total78144379100.00%

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