A STUDY ON PROCESS PLANNING OF TOOL PATH PATTERN FOR DIE AND MOLD SURFACES BY USING NEURAL NETWORK

抄録

Die and mold are necessary to produce present industrial products. In recent years, it is strongly required that the complicated surfaces are machined with high quality and low cost. However, it is difficult to generalize process planning that still depends on skillful experts and decreases the efficiency of preparation in die and mold machining. In order to overcome an issue that is difficult to be generalized, it is well known that neural network has a possibility to estimate a valid value based on past case data. Therefore, this study aims at developing a computer aided process planning (CAPP) system to determine tool path pattern for die and mold surfaces by using NN and past case data. From the result of conducted case studies, it is recognized that the developed CAPP system is helpful to determine tool path pattern even for complicated surfaces according to the implicit machining knowhow.