journal article·2023-01-02

Iterative excitation with noise rejection techniques for X-ray computed tomography of hollow turbine blades

Fuqiang Yang, Dinghua Zhang, Kuidong Huang, Yao Yang

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Abstract

The features of aero-engine hollow turbine blades show a complicated inner air tract, which have a significant influence on the engine’s performance. Inspection of the internal structure and flaws of the blades become indispensable. Non-destructive testing, such as computed tomography (CT), is an effective method for detecting internal problems. The purpose of this study is to demonstrate how an iterative excitation can be used to recover an incomplete projection in CT for a turbine blade. Firstly, the variance of the background was gathered as previous information. Then, to make up for the missed sample at the ill-angle position, a noise map was added and filtered as prep work for the forward projection. The original projections were retained, and the revised projections were used to extract additional characteristics from the damaged data. Finally, both simulation and actual tests were studied. The Normalised Mean Square Distance (NMSD) of the reconstructed image was reduced by over 20%. The Structural Similarity Index Measure (SSIM) and the Universal Quality Index (UQI) were both enhanced by at least 60% and 41%, respectively. It was demonstrated that the technique can increase the accuracy of reconstruction for a hollow turbine blade.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced X-ray and CT Imaging · Welding Techniques and Residual Stresses · Medical Imaging Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Ministry of Industry and Information Technology

Ministry of Education

Funding

National Natural Science Foundation of China · National Science and Technology Major Project · Science Center for Gas Turbine Project · Natural Science Basic Research Program of Shaanxi, China · Finding of the Technology Field Fund of Basic Strengthening Plan

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