Kyoto University Graduate School of Engineering Department of Micro Engineering
Machining Measurement and Control Laboratory

Intelligent NC Machine Tools

To make the best use of high-speed machining centers, we have developed an intelligent operation management system that automates high-efficiency machining without requiring proficient knowledge and experiences of expert operators.

To make full use of the potential of latest high-speed machining centers in today's market for high-productive manufacturing, the design of machining conditions is a critical issue. Conventional NC machine tools are operated just as is commanded by an NC program. In this research, considering parts manufacturing as the main target, we have been researching various technologies related to the autonomous monitoring of a machining process and the adaptive optimization of machining conditions, and their implementation into the Intelligent Machine Tool (IMT).

Control of Tool Life Control of Tool Life
This project proposed a new control scheme of end milling processes, with the main focus on the control of tool life. It is a "long-term" feedback control; at every "check point" set on tool paths, the cutting force is monitored, and then machining conditions are autonomously modified in-process such that the desired cutting distance can be machined safely. The practical applicability is one of important features of the proposed approach, performing high-reliable control without installing expensive additional sensors. (March 2008)

On the Measurement of Spindle Stiffness On the Measurement of Spindle Stiffness
We have proposed a scheme to measure the dynamic stiffness of a spindle in machine tools by using displacement sensors installed into the spindle unit. Its application to the monitoring of cutting forces has been also discussed (March, 2005).

Cutting Force Estimation by Monitoring Motor Currents Cutting Force Estimation by Monitoring Motor Currents
An estimation scheme of cutting forces by monitoring only the armature current of servo motors and a spindle motor, without using any external sensors, has been researched (March, 2005).

Cutting Force Control by Using the Cutting Force Prediction Model Cutting Force Control by Using the Cutting Force Prediction Model
An identification scheme for the cutting force prediction model within canned milling cycles, and its application to the autonomous design of machining conditions, have been proposed (March, 2004).

Process Planning System based on Canned Milling Cycles Process Planning System based on Canned Milling Cycles
An intelligent process planning engine has been developed by making the full use of canned cycles for end milling processes (March, 2004).

Estimation of Cutting Forces by Measuring the Spindle Deflection Estimation of Cutting Forces by Measuring the Spindle Deflection
By installing displacement sensors into a spindle unit to measure the deflection of the spindle, cutting forces can be estimated (March, 2003).

An Integrated Simulator for Feed Drive Dynamics and Machining Processes An Integrated Simulator for Feed Drive Dynamics and Machining Processes
A end milling process simulator has been developed by integrating a machining process model into the dynamics of feed drives and CNC servo control systems (December, 2001).

Adaptive Force Control for Milling Processes Adaptive Force Control for Milling Processes
Considering the cutting force as index of machining process, we have been researching an autonomous in-process optimization scheme for machining conditions (March, 2001).