3D detection of internal defects for gas turbine blades-Reference-Cited by-同舟云学术

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3D detection of internal defects for gas turbine blades

Published:2017-07-01 Issue:7 Volume:59 Page:364-370
ISSN:1354-2575
Container-title:Insight - Non-Destructive Testing and Condition Monitoring
language:en
Short-container-title:insight

Author:

Li Bing,Chen Lei,Wang Yuegen,Gao Mengqiu

Publisher

British Institute of Non-Destructive Testing (BINDT)

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal distribution of capsules with active substance for the crack detection system in a turbine blade body;CIS Iron and Steel Review;2023-12-15

2. Classification of internal defects of gas turbine blades based on the discrimination of linear attenuation coefficients;Insight - Non-Destructive Testing and Condition Monitoring;2023-06-01

3. Defect Analysis in Compressor Vanes Using Split Bregman Noise-Reduced Digital Industrial Radiography;Russian Journal of Nondestructive Testing;2023-05

4. Enhancement of Digital Radiographic Images for Gas Turbine Blades Based on Simple Scattering Model;Journal of Nondestructive Evaluation;2023-04-10

5. 3D positioning of defects for gas turbine blades based on digital radiographic projective imaging;NDT & E International;2023-01

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