On the Monitoring of Cutting Forces in End Milling Processes (2nd Report)
-- The Application to the Identification of a Prediction Model of Cutting Forces within Canned Cycles --
Tomohiro Yasuda (Kyoto University)
Soichi Ibaraki (Kyoto University)
Atsushi Matsubara (Kyoto University)
Yoishiaki Kakino (Kakino Research Institute)
Abstract
Control strategies of cutting forces in end milling process have been long studied as a methodology to autonomously optimize cutting conditions. In particular, a model-based feedforward control approach has been recognized as a simple, and yet practical way to regulate the cutting force. This paper proposes an identification scheme of a prediction model of cutting force, and a control scheme of feedrate based on it. Model identification cycles are embedded within a canned milling cycle, where the cutting force is estimated from servo motor loads and then a prediction model of cutting force is identified. By performing the cutting force control based on the identified model in post processes, it is experimentally validated that the machining efficiency is significantly improved, while avoiding an excessive tool load.
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