Chih-Hsing Chu and Christian Brennum
Sponsored
By: CODEF/Norwegian University of Science and Technology
Abstract
A milling burr prediction system is developed for edge-precision
process planning. Workpiece edges are first classified into distinct categories
according to experimental conditions; the corresponding experimental
findings are then applied to predict burr types and burr locations, which are
displayed graphically on the workpiece contours. This system assists process
planners to reduce milling burr formation by adjusting tool paths, or change
burr formation locations for easy deburring.
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