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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7237

Title: New method estimate diesel engine oil viscosity:Acoustic Emission Viscosity (AEvisco)
Authors: Othman I.
Nordin J.
Jailani M. M. N.
Fauziah, Mat
Keywords: Acoustic emission;AEvisco;Viscosity;Engine oil;AEenergy;Nondestructive testing
Issue Date: 11-Oct-2009
Publisher: Universiti Malaysia Perlis
Citation: p.9D 1 - 9D 4
Series/Report no.: Proceedings of International Conference on Applications and Design in Mechanical Engineering 2009 (iCADME 2009)
Abstract: Estimation the diesel engine oil viscosity in an engine operation is very important since it affects the engine performance. One of the most promising engine oil viscosity monitoring methods is based on the analysis of acoustic emission (AE) signals, which is an extremely powerful technique that can be deployed in a wide range of application of non-destructive testing. This technique is already used for monitoring the behavior of the sliding activities almost in all bearing operations especially wear. But in this study, the AE signals were applied for monitoring and estimate diesel engine oil viscosity by using new equation which is known as acoustic emission viscosity (AEvisco). The AE signals generated in the piston sliding zone on engine oil surface and it’s very sensitive for correlation with engine oil viscosity. Using MATLAB, the AE signals could be translated into AE energy. By using AEvisco equation newly introduced, viscosity value will be accessible of AE energy. This study was carried out with a single cylinder 4 strokes diesel engine. That engine oil also undergoes oil analysis to seek the real viscosity value as study comparison. Analysis showed that the AE method with AEvisco equation is applicable for estimation diesel engine oil viscosity.
Description: Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/7237
ISBN: 978-967-5415-07-4
Appears in Collections:Conference Papers

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