Host: The Institute of Systems, Control and Information Engineers
Name : 2018 International Symposium of Flexible Automation
Location : Kanazawa Chamber of Commerce and Industry, Kanazawa Japan
Date : July 15, 2018 - July 19, 2018
Pages 106-107
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.
