Paper Title:
Defects Detection for Casting of Railway Freight Car Using X-Ray Radiography
  Abstract

In order to improve detection efficiency of casting bolster and side frame of railway freight car, the method to automatically detect railway casting porosity and shrinkage cavity using watershed transformation based on X-ray digital radiography is presented. Firstly, while castings of a bolster and a side frame are scanned by 9Mev X-ray digital radiography system, the DR images are obtained. Then one of interested regions is selected in an image. Defects segmentation is implemented by using watershed transformation algorithm in this paper. Lastly, defects area and occupy rate are acquired by analyzing and computing, so that we can judge the casting quality. The experimental results show that defect regions and contours can be accurately acquired. This method has high robustness and practicality. It improves the efficiency of automated inspection of railway castings.

  Info
Periodical
Chapter
Chapter 7: Mechanics Engineering and Materials
Edited by
Linli Xu, Wenya Tian and Elwin Mao
Pages
951-955
DOI
10.4028/www.scientific.net/AMM.80-81.951
Citation
Y. N. Zou, J. W. Li, J. Wang, "Defects Detection for Casting of Railway Freight Car Using X-Ray Radiography", Applied Mechanics and Materials, Vols. 80-81, pp. 951-955, 2011
Online since
July 2011
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Price
$32.00
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