%0 Journal Article
%T A Fast Inspection of Tool Electrode and Drilling Depth in EDM Drilling by Detection Line Algorithm
%A Kuo-Yi Huang
%J Sensors
%D 2008
%I MDPI AG
%X The purpose of this study was to develop a novel measurement method using a machine vision system. Besides using image processing techniques, the proposed system employs a detection line algorithm that detects the tool electrode length and drilling depth of a workpiece accurately and effectively. Different boundaries of areas on the tool electrode are defined: a baseline between base and normal areas, a ND-line between normal and drilling areas (accumulating carbon area), and a DD-line between drilling area and dielectric fluid droplet on the electrode tip. Accordingly, image processing techniques are employed to extract a tool electrode image, and the centroid, eigenvector, and principle axis of the tool electrode are determined. The developed detection line algorithm (DLA) is then used to detect the baseline, ND-line, and DD-line along the direction of the principle axis. Finally, the tool electrode length and drilling depth of the workpiece are estimated via detected baseline, ND-line, and DD-line. Experimental results show good accuracy and efficiency in estimation of the tool electrode length and drilling depth under different conditions. Hence, this research may provide a reference for industrial application in EDM drilling measurement.
%K Electrical discharge machining (EDM)
%K Electrode length
%K Drilling depth
%K Detection line algorithm (DLA)
%K Peak decision method.
%U http://www.mdpi.com/1424-8220/8/8/4866/