Autonomous Machining Center Using Intelligent Supervisory Strategy

Summary

This paper presents a model based experimental approach for intelligent control of a Computer Numerically Controlled Machining Center (CNC). The paper first reviews the current work in the area of open architecture control for machine tools. This is followed by presentation of the hardware and software scheme adopted to implement on-line inspection procedures in CNC machining centers. Tool wear and tool deflection in a machining operation can affect dimensional accuracy and surface finish of the workpiece. As such, it is essential to inspect such parameters as surface roughness and geometrical data in an on-line fashion. The surface roughness data is obtained using a new laser based procedure where as geometrical data is obtained using ultrasonic methods. Information from these sensors will be used in a rule based algorithm that will provide the appropriate adaptive control of feed rate, spindle speed, force and torque applied to the machining operation. The supervisory decision making strategy will ensure the application of the correct process adjustment so as to optimize the entire machining process.