Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 13, 2017 - November 17, 2017
In this study, a new method utilizing the similarity of removal volume to select the most similar machining case data is proposed to realize automated NC program generation. The geometric information of the removal volume, which is extracted by splitting total removal volume, and the cutting conditions associated with the removal volume are stored in database as a machining case data. The proposed method can select the most similar machining case data from database even for the complicated product shape, because each extracted removal volume is geometrically simple. In the case study for the validation of the proposed method, the cutting conditions were successfully determined from the most similar machining case data and an NC program was automatically generated appropriately.
