Research Article
A Hybrid Nondominant-Based Genetic Algorithm (NSGA-II) for Multiobjective Optimization to Minimize Vibration Amplitude in the End Milling Process
Table 3
Trial (experimental) values with responses.
| Run | Machine spindle speed | Rate of feed | Depth of cut (axial) | Depth of cut (radial) | Radial tool rake angle | Channel 1: spindle vibration ASV(Exp) | Channel 2: worktable vibration AWTV(Exp) | Predicted RSM: spindle vibration ASV(Pred RSM) | Predicted RSM: worktable vibration AWTV(Pred RSM) | mm/s2 |
| 1 | 2000 | 0.06 | 0.6 | 0.6 | 21 | 0.019 | 0.0035 | 0.0187 | 0.0035 | 2 | 3000 | 0.06 | 0.6 | 0.6 | 15 | 0.021 | 0.0043 | 0.0206 | 0.0043 | 3 | 2000 | 0.1 | 0.6 | 0.6 | 15 | 0.018 | 0.0035 | 0.0177 | 0.0035 | 4 | 3000 | 0.1 | 0.6 | 0.6 | 21 | 0.018 | 0.0041 | 0.0178 | 0.0041 | 5 | 2000 | 0.06 | 0.8 | 0.6 | 15 | 0.018 | 0.0042 | 0.0176 | 0.0042 | 6 | 3000 | 0.06 | 0.8 | 0.6 | 21 | 0.019 | 0.004 | 0.0187 | 0.0040 | 7 | 2000 | 0.1 | 0.8 | 0.6 | 21 | 0.021 | 0.0041 | 0.0208 | 0.0041 | 8 | 3000 | 0.1 | 0.8 | 0.6 | 15 | 0.02 | 0.0038 | 0.0197 | 0.0038 | 9 | 2000 | 0.06 | 0.6 | 0.8 | 15 | 0.018 | 0.004 | 0.0178 | 0.0040 | 10 | 3000 | 0.06 | 0.6 | 0.8 | 21 | 0.021 | 0.0041 | 0.0209 | 0.0041 | 11 | 2000 | 0.1 | 0.6 | 0.8 | 21 | 0.019 | 0.004 | 0.0190 | 0.0040 | 12 | 3000 | 0.1 | 0.6 | 0.8 | 15 | 0.021 | 0.0044 | 0.0209 | 0.0044 | 13 | 2000 | 0.06 | 0.8 | 0.8 | 21 | 0.02 | 0.0041 | 0.0199 | 0.0041 | 14 | 3000 | 0.06 | 0.8 | 0.8 | 15 | 0.024 | 0.0032 | 0.0238 | 0.0032 | 15 | 2000 | 0.1 | 0.8 | 0.8 | 15 | 0.018 | 0.003 | 0.0179 | 0.0030 | 16 | 3000 | 0.1 | 0.8 | 0.8 | 21 | 0.023 | 0.004 | 0.0230 | 0.0040 | 17 | 1500 | 0.08 | 0.7 | 0.7 | 18 | 0.021 | 0.0042 | 0.0214 | 0.0042 | 18 | 3500 | 0.08 | 0.7 | 0.7 | 18 | 0.025 | 0.0046 | 0.0254 | 0.0046 | 19 | 2500 | 0.04 | 0.7 | 0.7 | 18 | 0.015 | 0.0032 | 0.0156 | 0.0032 | 20 | 2500 | 0.12 | 0.7 | 0.7 | 18 | 0.015 | 0.0031 | 0.0152 | 0.0031 | 21 | 2500 | 0.08 | 0.5 | 0.7 | 18 | 0.017 | 0.0042 | 0.0174 | 0.0042 | 22 | 2500 | 0.08 | 0.9 | 0.7 | 18 | 0.019 | 0.0039 | 0.0194 | 0.0039 | 23 | 2500 | 0.08 | 0.7 | 0.5 | 18 | 0.018 | 0.0039 | 0.0189 | 0.0039 | 24 | 2500 | 0.08 | 0.7 | 0.9 | 18 | 0.022 | 0.0038 | 0.0219 | 0.0038 | 25 | 2500 | 0.08 | 0.7 | 0.7 | 12 | 0.015 | 0.0037 | 0.0156 | 0.0036 | 26 | 2500 | 0.08 | 0.7 | 0.7 | 24 | 0.016 | 0.0039 | 0.0162 | 0.0039 | 27 | 2500 | 0.08 | 0.7 | 0.7 | 18 | 0.015 | 0.0035 | 0.0147 | 0.0035 | 28 | 2500 | 0.08 | 0.7 | 0.7 | 18 | 0.015 | 0.0036 | 0.0147 | 0.0035 | 29 | 2500 | 0.08 | 0.7 | 0.7 | 18 | 0.015 | 0.0034 | 0.0147 | 0.0035 | 30 | 2500 | 0.08 | 0.7 | 0.7 | 18 | 0.015 | 0.0035 | 0.0147 | 0.0035 | 31 | 2500 | 0.08 | 0.7 | 0.7 | 18 | 0.014 | 0.0036 | 0.0147 | 0.0035 | 32 | 2500 | 0.08 | 0.7 | 0.7 | 18 | 0.015 | 0.0035 | 0.0147 | 0.0035 |
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