Monitoring of Engine Lubrication using Acoustic Emission Technology

Mohd. Fadhlan Mohd. Yusof, Azman Solahuddin

Abstract

This research presents the application of Acoustic Emission (AE) sensor to explore the feasibility of an AE signal in the process of monitoring the engine oil viscosity on different condition of mileage during the engine operation. The viscosity experiment was performed in a prior stage of the experiment using four samples of SAE 5W-30 engine oil with the different condition of mileage. On the next occasion, the AE signal was acquired on three cylinders of a four-stroke gasoline engine with a cooling water system which operates using the previous lubricant sample. In this experiment, the AE sensor was bonded on the outside of the engine block and located at the oil filter and oil sump location. It was found that the AE energy value is capable of determining the variant of the engine oil viscosity. The results from this project show that via AE technology proved to be feasible for the development of a real-time lubricant condition monitoring which was believed to be a new technology in the automotive industry.

Keywords

acoustic emission, engine lubricant, monitoring system.

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References

Jamaludin, N. Inayatullah, O. Mohd Nor, M. J. and Mat, F. "Relationship between engine oil viscosity with age and temperature, Sains Malaysiana 40 (5), 2011, p: 509‐ 513.

Basu, A., Berndorfer, A., Buelna, C., Campbell, J., Ismail, K., Lin, Y., et al. (2000). Smart sensing of oil degradation and oil level measurements in gasoline engines. Report 2000-01-1366, Delphi Mexico Technical Center, SAE World Congress, Detroit, USA. Cash. W, Engine Lubrication Basics, 2012.

Environmental Protection Agency (EPA). (1999). Oil life extension. Technical report, Environmental Protection Agency.

Inayatullah,O. Ali, A. Jamaludin,N. and Mohd Nor, M. J. Application of Acoustic Emission Technique to Observer the Engine Oil’s Viscosity. Proc. Of 2nd International Conference on Instrumentation, Control and Automation, 2011, pp. 49-53. ISBN:978-1-4577-0/11 IEEE (Nov 15-17, 2011 – Bandung Indonesia).

Hamel, M. Andali, A. and Mba, D. Employing Acoustic Emission for Monitoring Oil Film Regimes, ISSN 2075-4442, UK, pp. 61-74, Lubricants 2013.

Miller, K. R. Non-Destructive Testing Handbook Vol. 5- Acoustic Emission, American Society for Non-Destructive Testing, Columbus, 1987.

Jamaludin, N. And Mohd Nor, M. J. Lubrication monitoring in a low speed bearing using acoustic emission technique, Proc. 15th lnt. Congress on Condition Monitoring and Diagnostic Engineering Management, Birmingham UK, pp. 521-527, 2002.

Miettien, Condition Monitoring of Grease Lubricated Rolling Bearings by Acoustic Emission Measurements, PhD Thesis, Tampere University, Finland, 2000.

Hafizi, M. Z. Nizwan, C. K. E. and Firdaus, D. M. A Study of Acoustic Emission Intensity Effect During Fuel Injector Fault, National Conference in Mechanical Engineering Research and Postgraduate Student, UMP, Malaysia,pp.495-501, 2010.

Gill, J. D., Reuben R. L. and Steel,. J. A. 2000. A Study of Small HSDI Diesel Engine Fuel Injection Equipment Faults Using Acoustic Emission. Proc. EWGAE. 281 286.

El-Ghamry, M. H., R. L. Reuben, dan Steel J. A. 2003. The Development of Automated Pattern Recognition and Statistical Feature Isolation Techniques for the Diagnosis of Reciprocating Machinery Faults Using Acoustic Emission.Mechanical Systems and Signal Processing Journal. 17: 805-823.

Azzoni P., Moro D. & Rizzoni G. 1998.Time-Frequency Signal Analysis of the Acoustic Emission of Formula 1 Engines. IEEE Xplore, 441-444.

Fog, T. L., Brown, E. R., Hansen, H. S., Madsen, L. B., Rensen, P. S., Steel, J. A., Reuben, R. L. and Pedersen, P. S. 1998. Exhaust Valve Leakage Detection in Large Engine Diesel. Proceedings of the 11th International Conference on Condition Monitoring and Diagnostic Engineering Management COMADAM. 1: 269 278.

Elamin, F., Gu, F. and Ball, A. D. Online Monitoring of Engine Oil Quality Based on AE Signal Analysis, Computing and Engineering Researchers Conference, pp. 116-123, Dec 2010.

Fitch, J. Trouble-shooting Viscosity Excursion, Practising Oil Analysis, (5/2001).

Li X.. 2002. A brief review: Acoustic Emission Method for Tool Wear Monitoring during Turning. International Journal of Machine Tools & Manufacture. 42: 157-165.

Nuawi M. Z., Abdullah S., Ismail A.R.; Zulkifli R., Zakaria M. K. & Hussin M. F. H. 2008. A Study on Ultrasonic Signals Processing Generated From Automobile Engine Block Using Statistical Analysis. WSEAS TRANSACTIONS on SIGNAL PROCESSING, 4: 279-288.

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