금형의 고품위 고속가공을 위한 가공조건 최적화

Today, the trend in die/mold manufacturing is to pursue high-quality surface topology using the high-speed machining. This paper presents a new approach to optimize the machining condition according to the required material removal rate, focusing on obtaining high-quality surface. In this approach, the surface roughness prediction using the 2-stage artificial neural network is used for the objective function of the optimization problem. Furthermore, surface quality criteria is also used for the optimization problem using the genetic algorithm. It has been investigated that optimized machining condition can be selected to obtain the smallest surface roughness with maintaining the high-quality surface, under the given material removal rate.