Research Article
Multipass Turning Operation Process Optimization Using Hybrid Genetic Simulated Annealing Algorithm
Table 5
Obtained optimal unit cost using HSAGA approach.
| | Variables | Range/limit | HSAGA result |
| Process parameters | (m/min) | 50–500 | 111 | (mm/rev) | 0.1–0.9 | 0.565 | (mm) | 1.0–3.0 | 3 | (m/min) | 50–500 | 171 | (mm/rev) | 0.1–0.9 | 0.225 | (mm) | 1.0–3.0 | 3 |
| Constraints for rough cut | (min) | 25–45 | 44.26 | (Kgf) | 200 | 199.16 | (Kw) | 5 | 4.22 | SCr | 140 | 2278 | (°C) | 1000 | 866 |
| Constraints for finish cut | | 25–45 | 24.87 | (Kgf) | 200 | 98.5 | (Kw) | 5 | 3.25 | SCs | 140 | 2164 | (°C) | 1000 | 857 | (µm) | 10 | 5.3 |
| Constraints on variable relations | | 1.0 | 1.54 | | 2.5 | 2.51 | | 1.0 | 1 |
| Minimum cost ($) | | | 2.06 |
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