Crack Detection of Fan Blade Based on Natural Frequencies

IF 0.9 Q4 ENGINEERING, MECHANICAL
Men Yu, Fu Sheng, Y. Gao, Zheng Hao, Yonggang Xu
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引用次数: 14

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.
基于固有频率的风机叶片裂纹检测
基于风扇叶片的离散数学模型,结合流体结构分析,利用固有频率的变化,开发了一种简单的方法来检测损坏。此外,还开发了一种用于流体结构分析的数值方法。数值模拟的结果提供了叶片中单个裂纹在不同位置和尺寸下每种模式的固有频率数据。利用Matlab建立了故障数据库。使用固有频率的变化来检测叶片的损坏。这项研究将有助于从不同的角度研究裂纹对结构的影响;仿真结果表明了该方法的有效性。
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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
10
审稿时长
25 weeks
期刊介绍: This comprehensive journal provides the latest information on rotating machines and machine elements. This technology has become essential to many industrial processes, including gas-, steam-, water-, or wind-driven turbines at power generation systems, and in food processing, automobile and airplane engines, heating, refrigeration, air conditioning, and chemical or petroleum refining. In spite of the importance of rotating machinery and the huge financial resources involved in the industry, only a few publications distribute research and development information on the prime movers. This journal is the first source to combine the technology, as it applies to all of these specialties, previously scattered throughout literature.
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