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A Study of Deburring System Using The Image Processing Technique  

Bae, Joon-Young (Dept.of Mechanical Engineering, Graduate School of Kyungpook National University)
Joo, Youn-Myoung (Dept.of Mechanical Engineering, Graduate School of Kyungpook National University)
Choi, Sang-Kyun (Dept.of Mechanical Engineering, Engineering College, Kyungpook National University)
Lee, Sang-Ryong (Dept.of Mechanical Engineering, Engineering College, Kyungpook National University)
Publication Information
Journal of the Korean Society for Precision Engineering / v.19, no.6, 2002 , pp. 128-135 More about this Journal
Abstract
Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process Is one of manufacturing processes that have not been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/comer finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm fur corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.
Keywords
Image processing; Deburring; SUSAN method; Point matching; Edge finding; DXF;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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