Investigation on wall thickness ranges using digital radiography for tangential projection technique

Wenwen Xu; Uwe Zscherpel; Jianping Peng; Lin Luo; Xiaorong Gao; Jinlong Li

doi:10.1117/12.2506324

15 November 2018 Investigation on wall thickness ranges using digital radiography for tangential projection technique

Wenwen Xu, Uwe Zscherpel, Jianping Peng, Lin Luo, Xiaorong Gao, Jinlong Li

Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 109645B (2018) https://doi.org/10.1117/12.2506324
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China

Abstract

X-ray testing is based on the attenuation of X-rays when passing through matter. Image detectors acquire the X-ray information which is defined by the local penetrated wall thickness of the tested sample. By X-ray absorption in the detector and following read-out and digitization steps a digital image is generated. As detectors a radiographic film and film digitization, a storage phosphor imaging plate and a special Laser scanner (Computer Radiography - CR) or a digital detector array (DDA) can be used. The digital image in the computer can then be further analyzed using many types of image processing. In the presented work the automated evaluation of wall thickness profiles are investigated using a test steel pipe with 9 different wall thicknesses and various X-ray voltages and different filter materials at the tube port and intermediate between object and detector. In this way the influence of different radiation qualities on the accuracy of the automated wall thickness evaluation depending on the penetrated wall thickness of the steel pipe was investigated.

Citation Download Citation

Wenwen Xu, Uwe Zscherpel, Jianping Peng, Lin Luo, Xiaorong Gao, and Jinlong Li "Investigation on wall thickness ranges using digital radiography for tangential projection technique", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109645B (15 November 2018); https://doi.org/10.1117/12.2506324

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