Author, Subjects, Keywords

Cited Author

 

 
   » By Author or Editor
 » Browse Author by Alphabet
 » By Journal
 » By Subjects
 » Malaysian Journals
 » By Type
 » By Year
 » By Latest Additions
 
 
   » By Author
 » Top 20 Authors
 » Top 20 Article
 » Top Journal Cited
 » Top Article Cited
 » Journal Citation Statistics
 » Usage Since Sept 2007


 
 
 

Login | Create Account

Monitoring bearing condition using airborne sound

Mansor N.I.I., and Ghazali M.J., and Nuawi M.Z., and Kamal S.E.M., (2009) Monitoring bearing condition using airborne sound. International Journal of Mechanical and Materials Engineering, 4 (2). pp. 152-155. ISSN 1823-0334

[img]
Preview
PDF (Full Text) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
893Kb

Official URL: http://ejum.fsktm.um.edu.my/ArticleInformation.aspx?ArticleID=776

Affiliations

Universiti Kebangsaan Malaysia, Dept. of Mechanical and Materials Engineering
Universiti Kebangsaan Malaysia, Dept. of Mechanical and Materials Engineering
Universiti Kebangsaan Malaysia, Dept. of Mechanical and Materials Engineering
Universiti Kebangsaan Malaysia, Dept. of Mechanical and Materials Engineering

Abstract

A sliding wear behaviour of several commercial bearing alloys were tested against a hardened AISI 4340 steels at three different sliding distance, 500, 800 and 1500 m. Under a pin-on-disc configuration, the test was performed in a lubricated condition (engine oil) in order to imitate the contact behaviour of a connecting rod and a crankshaft in an engine. In this work, deformations of the bearings were being monitored by an acoustic method via airborne. With frequencies ranging from 0 to 20 kHz, deformed bearing signals were then analysed by MATLAB software including the 3D I-kaz method. It was found that wear coefficient, K’ for 500 m sliding speed showed 8.5x10-5 mm³/Nm and based on FFT analysis a signal was generated during the test done. Thus, it can be concluded that the wear loss can be recorded via airborne which was induced by generated sound from the pin and disc contacts.

Item Type:Journal
Keywords:Sliding wear; Bearing; Acoustic; Monitoring
Subjects:T Technology, Engineering
ID Code:10292

Alan, H., Masaki, W., & Hiroshi, M., 2008. The relationship between acoustic emissions and wear particles for repeated dry rubbing, Wear, Volume265, pp.831-839.

Benbouzid, M.E.H., 2000. A review of induction motors signature analysis as a medium for faults detection, IEEE Trans. Ind. Electron, Volume47, pp. 984-993.

Byoung, H. R, and Kyung, W. K., 2003. Acoustical properties of hydrodynamic journal bearings, Tribology International, Volume36, pp.61-66.

Chow, T.W.S., and Tan, H.Z., 2000. HOS-based nonparametic and parametic methodologies for machine fault detection, IEEE Trans. Ind. Electron, Volume47, pp.1051-1059.

Daubechies, I., 1992.Ten lectures on wavelets. SIAM, Philadelphia.

Nuawi, M.Z., Nor, M.J.M., Jamaludin, N., Abdullah, S., Lamin, F., and Nizwan, C.K.E., 2008. Development of Integrated Kurtosis-Based Algorithm for Z-Filter technique, Journal of Applied Sciences, Volume8, No.8, pp.1541-1547.

Rabinowicz , E., 1984. The least wear, Wear, Volume100, pp.533 - 541

Richard, S. F., and Donald, E. B., 2006. Theory and design for mechanical measurements., forth ed. John Wiley & Sons, Inc., New York.

Theodore, B., and Eugene, A. A. 1994. Standard Handbook for Mechanical Engineers, eight ed. McGraw-Hill, New York.

Yang, L. Y., 2005. A test methodology for the determination of wear coefficient, Wear, Volume259, pp.1453-1461.

Repository Staff Only: item control page