Detection of Three-Dimensional Parameter of Defects for Gas Turbine Blades Based on Two-Dimensional Digital Radiographic Projective Imaging-Reference-Cited by-同舟云学术

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Detection of Three-Dimensional Parameter of Defects for Gas Turbine Blades Based on Two-Dimensional Digital Radiographic Projective Imaging

Published:2019-11-11 Issue:4 Volume:38 Page:
ISSN:0195-9298
Container-title:Journal of Nondestructive Evaluation
language:en
Short-container-title:J Nondestruct Eval

Author:

Chen Lei^ORCID,Li Bing,Zhou Hao,Li Zhangbing,Shang Zhongyu

Funder

the “Aero Engine & Gas Turbine” National Science and Technology Major Project

the Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://link.springer.com/content/pdf/10.1007/s10921-019-0640-3.pdf

Reference15 articles.

1. Liu, J.F., Liu, J., Wan, J., Wang, Z.Q., Yu, D.R.: Early fault detection of hot components in gas turbines. J. Eng. Gas Turbines Power (2017). https://doi.org/10.1115/1.4034153

2. Carter, T.J.: Common failures in gas turbine blades. Eng. Fail. Anal. 12(2), 237–247 (2005). https://doi.org/10.1016/j.engfailanal.2004.07.004

3. Gallardo, J.M., Rodriguez, J.A., Herrera, E.J.: Failure of gas turbine blades. Wear 252(3–4), 264–268 (2002). https://doi.org/10.1016/S0043-1648(01)00885-7

4. Zhou, D.J., Wei, T.T., Zhang, H.S., Ma, S.X., Weng, S.L.: A damage evaluation model of turbine blade for gas turbine. J. Eng. Gas Turbines Power (2017). https://doi.org/10.1115/1.4036060

5. Nowell, D., Duo, P., Stewart, I.F.: Prediction of fatigue performance in gas turbine blades after foreign object damage. Int. J. Fatigue 25(9–11), 963–969 (2003). https://doi.org/10.1016/s0142-1123(03)00160-9

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