Mathematical Problems in Engineering / 2018 / Article / Tab 7

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 7

Response surface regression of safety factor versus design parameters.

SourceDFSeq SSContributionAdj SSAdj MSF-ValueP-Value

Model3510.326691.71%10.32660.2950513.590.000
 Linear76.210255.15%4.20000.6000027.630.000
  l110.00400.04%0.00700.006980.320.574
  t110.00330.03%0.01980.019800.910.345
  l215.646450.14%3.85753.85746177.660.000
  t210.00190.02%0.01950.019550.900.348
  l310.00620.05%0.00020.000150.010.934
  t310.02370.21%0.01320.013230.610.439
  10.52484.66%0.30580.3058114.080.001
 Square73.610032.06%3.62120.5173123.820.000
  l1l110.12091.07%0.07230.072343.330.075
  t1t110.17641.57%0.08120.081213.740.060
  l2l213.212928.53%1.10011.1000750.660.000
  t2t210.01270.11%0.07830.078273.600.064
  l3l310.04180.37%0.09670.096704.450.041
  t3t310.01050.09%0.04340.043432.000.164
   10.03480.31%0.04080.040831.880.177
 2-Way Interaction210.50644.50%0.50640.024111.110.374
  l1t110.00230.02%0.00290.002940.140.715
  l1l210.00100.01%0.00100.001040.050.828
  l1t210.00540.05%0.00530.005270.240.625
  l1l310.00510.05%0.00470.004750.220.642
  l1t310.00100.01%0.00090.000920.040.837
  l1 10.00160.01%0.00160.001650.080.784
  t1l210.03200.28%0.03060.030611.410.242
  t1t210.00790.07%0.00730.007290.340.565
  t1l310.00000.00%0.00010.000080.000.953
  t1t310.00150.01%0.00160.001630.080.785
  t1 10.02650.24%0.02460.024641.130.293
  l2t210.13141.17%0.12960.129615.970.019
  l2l310.00410.04%0.00430.004330.200.657
  l2t310.00030.00%0.00020.000220.010.920
  l2 10.24192.15%0.24280.2427711.180.002
  t2l310.01050.09%0.01070.010690.490.487
  t2t310.00580.05%0.00580.005800.270.608
  t2 10.00450.04%0.00400.004020.180.669
  l3t310.00010.00%0.00010.000060.000.959
  l3 10.02330.21%0.02330.023331.070.306
  t310.00020.00%0.00020.000220.010.921
Error430.93378.29%0.93370.02171
Total7811.2603100.00%

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