Multi-Objective Optimization of Cutting Parameters with Improved NSGA-II

Cutting parameters optimization is actually a very challenging task. It should achieve a trade-off between cost, time and quality to the utmost. Additionally, it involves many constraints due to the complexity of manufacturing process. A multi-objective optimization model for cutting parameters was proposed, in which minimal machining time and minimal elapsed tool life were considered. An improved NSGA-II was also designed in order to efficiently deal with multiple constraints, in which the non-dominance concept was extended to constraint space. An application on titanium alloy's cutting parameters optimization showed that the proposed approach is effective to find Pareto solutions. The proposed cutting parameters optimization approach is ease to programmable for machining decision support system.