This paper presents an experimental approach for intelligent monitoring of a Computer Controlled Machining Process. The article reviews the ongoing development 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. Force overload and vibration 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 a specially designed optical digitizer. Information from these sensore are used in a rule-based algorithm that provide the appropriate adaptive control of feed rate and spindle speed applied to the machining operation. The supervisory decision making strategy ensures the application of the correct process adjustment so as to optimize the entire machining process.
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