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International Journal of Rotating Machinery
Volume 2018 (2018), Article ID 2095385, 13 pages
https://doi.org/10.1155/2018/2095385
Research Article

Crack Detection of Fan Blade Based on Natural Frequencies

1Beijing Precision Metrology Laboratory, Beijing University of Technology, Beijing 100124, China
2Ennovation System Control Co., Ltd., Beijing 101111, China
3Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing 100022, China

Correspondence should be addressed to Mengyao Yu; nc.ude.tujb.sliame@oaygnemuy

Received 1 September 2017; Accepted 8 January 2018; Published 5 February 2018

Academic Editor: Jingyin Li

Copyright © 2018 Mengyao Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A simple method was developed to detect damage based on a discrete mathematical model for fan blades using changes in natural frequencies combined with a fluid-structure analysis. In addition, a numerical approach was developed for the fluid-structure analysis. The results of numerical simulation provided the natural frequency data for each mode under different locations and sizes of a single crack in a blade. A fault database was built using Matlab. The damage of a blade was detected using the changes in natural frequencies. This study will assist in investigating the effect of a crack on a structure from different perspectives; the simulation results show the effectiveness of this approach.