Affiliation:
1. Aeronautical Automation College of Civil Aviation University of China
2. Engineering Maintenance Department
Abstract
Large wear debris is an important indication of abnormal wear of aviation engines. Analysis of the relationship between particle parameters and the output signal plays an important role to improve the sensor sensitivity. A three-coil simulating sensor model is constructed using APDL finite element program. After analyzing the influence factors to the induced output voltage of the sensor, such as debris material, location, size, exciting current etc, the fitting characteristic curves are obtained, realizing the quantitative analysis. Simulation results show that the sensor model can effectively distinguish between conductive and non conductive, ferromagnetic and non ferromagnetic debris. The induced voltage can reach 10-4 V for the 500 microns ferromagnetic abrasive particles. The characteristic curves provide important basis for further research on sensor structure optimization.
Publisher
Trans Tech Publications, Ltd.
Reference11 articles.
1. Wu J, Liu T G, Tang X H. Industrial Lubrication and Tribology, 2012, 64(6): 367-375.
2. Du L, Zhe J. Tribology International, 2011, 44(2): 175-179.
3. Kumar M, Mukherjee P S, Misra N M. Industrial Lubrication and Tribology, 2013, 65(1) : 3-11.
4. Yin Yonghui, Yan Xinping, Xiao Hanliang. The sensor technology, 2003, 22 (7): 36-38, 41.
5. Hongbo Fan, Yingtang Zhang, Zhining Li. Tribology, 2009, 29 (5): 452-457.
Cited by
3 articles.
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