Research on Wear Status Diagnosis for Aeroengine Based on Spectrography and Ferrography

Yong Guo Zhang; Li Ping Tong; Yi Wei Fei; Xiao Wen Wu

doi:10.4028/www.scientific.net/AMR.396-398.24

Paper Titles

Synthesis of Phenylazo-N,N-diphenylpropanediamide
p.3

Study of Ziegler-Natta /Metallocene Hybrid Catalyst on Pilot Device
p.8

Study on Separation Technology of Lead and Silver from Bulk Concentrate
p.13

Lead Ion and Tetrabutylammonium Bromide as Inhibitors of the Spongy Growth of Zinc in Single Flow Zinc/Nickel Batteries
p.18

Research on Wear Status Diagnosis for Aeroengine Based on Spectrography and Ferrography
p.24

Effect of Metal Ions (Cu²⁺/Fe²⁺) on the Antioxidant Activity of L-Ascorbic Acid-Glycine Model System
p.28

Study on the Pretreatment of Seawater to Reduce Turbidity and Boron Using Different Alkalizer
p.32

Synthesis and Characterization of a New Type of Smart Hydroxyapatite-PNIPAM Hybrid Nanopatrticles
p.35

Information-Entropy-Based Integrated Model for Predicting Burn-Through Point in Lead-Zinc Sintering Process
p.40

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 396-398Research on Wear Status Diagnosis for Aeroengine...

Research on Wear Status Diagnosis for Aeroengine Based on Spectrography and Ferrography

Abstract:

Wear status diagnosis to frictional particle analysis is the better technology for aeroengine failure predict. The monitoring wear conditions for on-line lubricating oil samples of the aeroengine are diagnosed based on spectrography and ferrography, and it is given the results that both of these combinational analytical methods are so relatively reliable that they can diagnose the wear faults and predict wear trend of the aeroengine.

You might also be interested in these eBooks

Advances in Chemical Engineering: ICCMME 2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 396-398)

Pages:

24-27

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.396-398.24

Citation:

Cite this paper

Online since:

November 2011

Authors:

Yong Guo Zhang, Li Ping Tong, Yi Wei Fei, Xiao Wen Wu

Keywords:

Aeroengine, Ferrography, Spectrography, Status Diagnosis, Wear Partical

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Yaoqing Wan, Changsong Zheng, Biao Ma. Threshold Problems on Fault Diagnosis of Theatomic Emission Spectrometer Oil Analysis. Mechanical Strength[J], 2006, pp.485-488

Google Scholar

[2] Jing Zhang, Zixin Zhu, Dong Chen. Applications of Atomic Emission Spectrometric Techniques on Wear Failure Analysis of Aircraft Engine. Failure Analysis and Prevention[J], Vol.2, No.2, 2007, pp.62-64

Google Scholar

[3] Fei Yiwei, Zhang Dongmei, Jiang Xufeng. Application of Oil Monitoring Technology to Aeroengine Fault Diagnosis. Aeroengine[J], Vol.30, No.3, 2004, P 45-48, in Chinese

Google Scholar

[4] Pingping Xie, Chengjie Sun. Oil Monitoring Technology. 2008 China Lubricant Technique ＆ Economy Forum, 2008: 405-408, in Chinese

Google Scholar

[5] Qiming Yang. Wear Particle Analysis-Wear Particle Atlas and Ferrography[M], China Railway Publisher, 2001, P1-2, in Chinese

Google Scholar

[6] Qiming Yang, Xinping Yan, Shizhong He. Oil Monitoring Practical Technique[M], Machinery industry publisher, 2006, P106-108, in Chinese

Google Scholar

[7] Jian Wang, Yingtang Zhang. Oil Analysis Technology and Its Application. Lubricant Engineering[J], No.4, 2002, P77-78

Google Scholar

[8] Yiwei Fei, Dongmei Zhang, Xufeng Jiang. Application of Oil Monitoring Technology in Fault Diagnosis of the Aeroengine. New Technology & New Process[J], No.5, 2004, P 27-29

Google Scholar