한국생산제조학회지 (Journal of the Korean Society of Manufacturing Technology Engineers)

  • 제22권3호
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  • Pages.452-458
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  • 2013
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  • 2508-5093(pISSN)
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  • 2508-5107(eISSN)
한국생산제조학회 (The Korean Society of Manufacturing Technology Engineers)
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자동차 부품 형상 결함 탐지를 위한 측정 방법 개발

Development of An Inspection Method for Defect Detection on the Surface of Automotive Parts

  • 투고 : 2013.03.31
  • 심사 : 2013.05.14
  • 발행 : 2013.06.15
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초록

Over the past several years, many studies have been carried out in the field of 3D data inspection systems. Several attempts have been made to improve the quality of manufactured parts. The introduction of laser sensors for inspection has made it possible to acquire data at a remarkably high speed. In this paper, a robust inspection technique for detecting defects in 3D pressed parts using laser-scanned data is proposed. Point cloud data are segmented for the extraction of features. These segmented features are used for shape matching during the localization process. An iterative closest point (ICP) algorithm is used for the localization of the scanned model and CAD model. To achieve a higher accuracy rate, the ICP algorithm is modified and then used for matching. To enhance the speed of the matching process, aKd-tree algorithm is used. Then, the deviation of the scanned points from the CAD model is computed.

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참고문헌

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피인용 문헌

  1. A novel coarse-to-fine registration approach for aligning partially overlapped 3D scanned data pp.1362-3052, 2017, https://doi.org/10.1080/0951192X.2017.1407450