Abstract

In this study, optimization of tool path is presented through simulation material removal using Finite Element Analysis (FEA) and control via Genetic Algorithm (GA). The computer code for GA is developed and is specifically designed using MATLAB programming. The developed GA toolbox was written in m-files script together with several built-in functions in order to import the text file generated by FEA software. This paper presents the solution for cutting tool path optimization which is the interaction toolbox that consists of the integration between MATLAB and ABAQUS. This developed toolbox facilitates the optimization process to be performed successfully on the tool path machining process. The optimization technique inherently assists in producing finishing product, with minimum chatter and static deflection problem.

Key words: Genetic algorithm (GA), MATLAB programming, intelligent cutting tool path.