抄録
In recent years, the productivity of machine tools have been significantly improved by using computer based CAD/CAM systems for Computer Numerical Control(CNC) program generation. There are many CAM software in the market that provide tool path programming and can be applied to different types of machining. However, in most cases the efficiency of machining in CNC is still relied on the optimization of the tool path. Hence, this present paper presents a Genetic Algorithm Tool Path Optimization (GATPO) method using to obtain the shortest tool path for three axes CNC drilling machine. A user friendly Graphical User Interface (GUI) has been developed using MATLAB to input various parameters which adapts Travelling Salesman Problem(TSP) in determining the distance took during machining. Two kinds of crossover method have been applied, i.e., single-point crossover and two-point crossover to observe the effect of them. The simulation result ascertained that our proposed GA based tool path optimization is useful to find a lower distance of tool path generation for hole drilling process.
