Machining, Measurement, and Control Laboratory

A Study on Intelligent Process Planning System for End Milling Process
Masanori Murozumi, Hidenori Saraie, Yoshifumi Fujita, Yoshiaki Kakino, Atsushi Matsubara

This paper presents an intelligent process planning system for end milling process. Machining features are input for the system which are given by the differences between the shape of the raw material and finished part. Several sets of canned cycles, which give the CL data for the machining of the part from raw material, are selected for all machining features. The optimum set of the canned cycles is decided from all sets of the candidates under the criterions, for examples, manufacturing cost minimum. Cutting tests are conducted to verify the validity of the system and it becomes clear that this system can make a reasonable process for the milling.