Multiobjective Optimization of Milling Tool Geometry for Chatter Suppression and Productivity Improvement

摘要

In this paper, productivity and self-excited vibration are simultaneously optimized using multiobjective optimization in cutting process. At high material removal rate, machining processes accelerates tool wear, poor surface finish and failure of machine parts. The effect of self-excited vibration or chatter prevents high machining productivity. This chatter vibration can be avoided by modifying tool geometry at low material removal rate but not at high productivity. To compensate material removal rate and chatter, multiobjective optimization is applied using ε-constraint algorithm to achieve a Pareto front solution. Differential Evolution as intelligent optimization algorithm is shown better results than traditional technique of Sequential Quadratic Programming.