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http://dx.doi.org/10.7315/CADCAM.2013.113

Measured Data based Inspection for Unintended Deflections in Automotive Outer Panels  

Chung, Yun Chan (Department of Mechanical System Design Engineering, Seoul National University of Science & Technology)
Lee, Sang Heon (KV Technology)
Chang, Dae Soon (Department of Industrial Engineering, Ajou University)
Park, Sang Chul (Department of Industrial Engineering, Ajou University)
Publication Information
Korean Journal of Computational Design and Engineering / v.18, no.2, 2013 , pp. 113-119 More about this Journal
Abstract
This paper proposes an approach to detect unintended deflections in an automotive outer panel. Conventionally, the detection of unintended deflections has been performed by experienced works, and it requires much amount of time and efforts. The motivation of this work is to reduce such efforts by providing an automated detection methodology. For the detection of unintended deflections, we make use of the measured data from an optical scanner which can be considered as a Z-map data. The proposed approach consists of four major steps; 1) measured data acquisition for an automotive outer panel, 2) identification of shape features, 3) removal of shape features, and 4) detection of unintended deflections via curvature analysis.
Keywords
Automotive outer panel; Inspection; Measured data; Unintended deflections;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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