Machining, Measurement, and Control Laboratory
 

 
 
 
 
A study on drilling process control by intelligent machine tools (1st Report)
-- Minimization of Total Machining Time of Drilling Multiple Holes Considering the Tool Life --
 
Tomonori Sato (Mitsubishi Electric Corp.)
Yoshiaki Kakino (Kyoto University)
Atsushi Matsubara (Kyoto University)
 
 
 
Abstract

This paper deals with the method to minimize the total machining time of drilling multiple holes by determining the cutting condition considering both the cutting torque and the tool life. Based on the ACC (Adaptive Control Constraint) system that controls the cutting torque, the proposed method controls the tool life by determining the cutting conditions according to the "machining control plan." Among several machining control plans, the plan that minimizes tool wear progress rate is found to be effective through the simulation. The proposed method is installed to a CNC machine tool, and its performance is verified by cutting tests. The results show that the proposed method reduces the cutting time by 7-13% compared to the conventional cutting methods.

Key words: intelligent machine tools, drilling, adaptive control, cutting conditions, tool life.