Multi-objective optimization of cutting parameters for drilling laminate composite materials by using genetic algorithms

Machining of composite materials is an important and current topic in modern researches on manufacturing processes. In this paper, a multi-objective optimization of the drilling process of a laminate composite material is proposed. Two mutually conflicting objectives are optimized: material removal rate, which represents the productivity; and delamination factor, which characterizes the superficial quality. A micro-genetic algorithm was implemented to carry out the optimization process. An a posteriori approach was used to obtain a set of optimal solutions. Finally, the obtained outcomes were arranged in graphical form (Pareto’s front) and analyzed to make the proper decision for different process preferences.