Reconstruction of Slice Image from Solid Rocket Motor Skiagrams Based on Compressed Sensing Algorithm

Abstract:

A reconstruction program of slice image based on SolidRocket Motor (SRM) skiagrams is put forward to overcome the deficiency of artificial radiographic interpretation. The algebraic reconstruction algorithmbased on compressed sensing technology is designed. The influence of radiographic interval angle and skiagram sizes on reconstructed slice image is studied. Radiographic interval angle has a great impact on the quality of the reconstructed image. Slender defects are not sensitive to changes in the length of the skiagram, but circular defects are sensitive to changes in the length of the skiagram. The reconstruction tests of model SRM skiagrams show that the sizes and locations of the debonded defects can be easily ascertained and the efficiency of radiographic interpretation can be greatly improved.

• Periodical: Applied Mechanics and Materials (Volumes 321-324)
• Pages: 1035-1040
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.321-324.1035
• Online since: June 2013
• Authors: Zhi Gao Xu, Chao Ning, Jing Ma, Xiang Bin Li
• Keywords: Compressed Sensing Algorithm, Reconstruction, Skiagram, Solid Rocket Motor (SRM)

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