Abstract
This research is focused on improving the efficiency of Computer Numerical Control (CNC) machining by enabling automatic feedrate selection. Model accuracy and utility are improved by a calibration process that uses spindle motor power and a wide variety of test cut geometries. A low-cost noninvasive spindle motor power sensor is combined with geometric and mechanistic models of the cutting process. Different constraints are set for rough, semi-finish and finish passes. A Numerical Control (NC) part program is processed one tool move at a time by the feedrate selection planner. For each tool move, a geometric model calculates the cut geometry. The selection algorithm then chooses the fastest possible feedrate, subject to constraints on part quality, tool health and machine tool capabilities. Experimental results for a sculptured surface bottle mould show the value of the method as an aid to process planning.
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