Mathematical Problems in Engineering / 2018 / Article / Tab 4

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 4

Design of experiments and training data using CCD.

No.l1
(mm)
t1
(mm)
l2
(mm)
t2
(mm)
l3
(mm)
t3
(mm)

(mm)
Displacement 
(μm)
Safety factor

1300.5200.40.5610472.593.63
2300.5200.40.565476.333.68
3300.5200.40.5615474.793.57
4300.5180.40.5610602.701.87
5300.5220.40.5610392.222.61
6300.5200.360.5610481.243.62
7300.5200.440.5610467.733.77
8300.5200.40.45610468.623.72
9300.5200.40.55610475.773.68
10300.5200.40.55.410473.373.60
11300.5200.40.56.610471.303.67
12270.5200.40.5610465.983.74
13330.5200.40.5610478.283.66
14300.45200.40.5610473.233.64
15300.55200.40.5610470.263.71
1628.930.5119.290.380.485.788.23521.262.94
1728.930.4819.290.380.485.7811.76524.743.04
1828.930.4820.700.380.485.788.23431.563.36
1928.930.5120.700.380.485.7811.76434.513.78
2028.930.4819.290.410.485.788.23515.783.01
2128.930.5119.290.410.485.7811.76514.263.12
2228.930.5120.700.410.485.788.23428.353.35
2328.930.4820.700.410.4825.7811.76432.743.78
2428.930.4819.290.380.515.788.23527.632.88
2528.930.5119.290.380.515.7811.76526.403.03
2628.930.5120.700.380.515.788.23438.243.53
2728.930.4820.700.380.515.7811.76436.993.76
2828.930.5119.290.410.515.788.23517.022.97
2928.930.4819.290.410.515.7811.76520.743.04
3028.930.4820.700.410.515.788.23434.693.49
3128.930.5120.700.410.515.7811.76431.843.71
3228.930.4819.290.380.486.218.23522.593.00
3328.930.5119.290.380.486.2111.76524.153.05
3428.930.5120.700.380.486.218.23430.913.42
3528.930.4820.700.380.486.2111.76434.533.96
3628.930.5119.290.410.486.218.23512.863.07
3728.930.4819.290.410.486.2111.76513.273.12
3828.930.4820.700.410.486.218.23433.473.44
3928.930.5120.700.410.486.2111.76430.083.89
4028.930.5119.290.380.516.218.23523.212.93
4128.930.4819.290.380.516.2111.76526.513.04
4228.930.4820.700.380.516.218.23438.893.67
4328.930.5120.700.380.516.2111.76437.813.79
4428.930.4819.290.410.516.218.23517.412.99
4528.930.5119.290.410.516.2111.76514.683.06
4628.930.5120.700.410.516.218.23433.783.33
4728.930.4820.700.410.516.2111.76433.243.74
4831.060.4819.290.380.485.788.23529.572.93
4931.060.5119.290.380.485.7811.76527.763.06
5031.060.5120.700.380.485.788.23441.453.60
5131.060.4820.700.380.485.7811.76440.863.82
5231.060.5119.290.410.485.788.23520.392.99
5331.060.4819.290.410.485.7811.76522.993.09
5431.060.4820.700.410.485.788.23438.413.54
5531.060.5120.700.410.485.7811.76436.123.65
5631.060.5119.290.380.515.788.23530.312.94
5731.060.4819.290.380.515.7811.76533.153.01
5831.060.4820.700.380.515.788.23439.533.32
5931.060.5120.700.380.515.7811.76444.133.78
6031.060.4819.290.410.515.788.23524.972.94
6131.060.51719.290.410.515.7811.76524.103.05
6231.060.5120.700.410.515.788.23435.033.32
6331.060.4820.700.410.515.7811.76439.343.72
6431.060.5119.290.380.486.218.23526.083.01
6531.060.4819.290.380.486.2111.76529.123.05
6631.060.4820.700.380.486.218.23436.643.44
6731.060.5120.700.380.486.2111.76440.673.84
6831.060.4819.290.410.486.218.23520.622.99
6931.060.5119.290.410.486.2111.76520.963.13
7031.060.5120.700.410.486.218.23436.903.41
7131.060.4820.700.410.486.2111.76438.743.86
7231.060.4819.290.380.516.218.23530.512.92
7331.060.5119.290.380.516.2111.76527.163.03
7431.060.5120.700.380.516.218.23442.883.63
7531.060.4820.700.380.516.2111.76442.263.88
7631.060.5119.290.410.516.218.23521.423.04
7731.060.4819.290.410.516.2111.76522.383.07
7831.060.4820.700.410.516.218.23434.913.32
7931.060.5120.700.410.516.2111.76439.503.56

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