An autonomous optimization of tool paths in canned cycles for end milling
Soichi Ibaraki (Kyoto University)
Daisuke Maeda (Kyoto University)
Atsushi Matsubara (Kyoto University)
Yoshiaki Kakino (Kakino Research Institute)
Tomohiro Yasuda (Kyoto University)
To facilitate a machine operator to perform a high-productivity machining by fully utilizing the potential of today's high-speed machining centers, we have developed a manufacturing system that can autonomously determine machining conditions in an intelligent manner. This paper presents the implementation of an autonomous machining process monitoring scheme and an in-process optimization scheme of tool paths into canned milling cycles. Since a tool path in a canned cycle is given as the repetition of simple paths, the implementation of such an in-process control scheme is more practical compared to the case under an arbitrary tool path. As an example, this paper particularly considers a trochoidal grooving canned cycle.