Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM).
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 c...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/27415/1/ID%2027415.pdf |
| _version_ | 1796971129742557184 |
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| author | Inayatullah, Othman Jamaludin, Nordin Mohd Nor, Mohd Jailani Mat, Fauziah Baharuddin, Aziz |
| author_facet | Inayatullah, Othman Jamaludin, Nordin Mohd Nor, Mohd Jailani Mat, Fauziah Baharuddin, Aziz |
| author_sort | Inayatullah, Othman |
| collection | UPM |
| description | 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 canbe 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 UKM acoustic emission energy viscosity model (ηEAEUKM). 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 UKM acoustic emission energy viscosity model (ηEAEUKM) 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
UKM acoustic emission energy viscosity model (ηEAEUKM) is
applicable for estimation diesel engine oil viscosity. |
| first_indexed | 2024-03-06T08:08:23Z |
| format | Conference or Workshop Item |
| id | upm.eprints-27415 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T08:08:23Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | upm.eprints-274152014-06-17T06:57:08Z http://psasir.upm.edu.my/id/eprint/27415/ Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). Inayatullah, Othman Jamaludin, Nordin Mohd Nor, Mohd Jailani Mat, Fauziah Baharuddin, Aziz 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 canbe 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 UKM acoustic emission energy viscosity model (ηEAEUKM). 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 UKM acoustic emission energy viscosity model (ηEAEUKM) 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 UKM acoustic emission energy viscosity model (ηEAEUKM) is applicable for estimation diesel engine oil viscosity. 2012 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/27415/1/ID%2027415.pdf Inayatullah, Othman and Jamaludin, Nordin and Mohd Nor, Mohd Jailani and Mat, Fauziah and Baharuddin, Aziz (2012) Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). In: International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) , 27-28 Feb. 2012, Pulau Pinang, Malaysia. . English |
| spellingShingle | Inayatullah, Othman Jamaludin, Nordin Mohd Nor, Mohd Jailani Mat, Fauziah Baharuddin, Aziz Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). |
| title | Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). |
| title_full | Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). |
| title_fullStr | Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). |
| title_full_unstemmed | Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). |
| title_short | Assessment engine oil using UKM acoustic emission energy viscosity model(ηEAEUKM). |
| title_sort | assessment engine oil using ukm acoustic emission energy viscosity model ηeaeukm |
| url | http://psasir.upm.edu.my/id/eprint/27415/1/ID%2027415.pdf |
| work_keys_str_mv | AT inayatullahothman assessmentengineoilusingukmacousticemissionenergyviscositymodelēeaeukm AT jamaludinnordin assessmentengineoilusingukmacousticemissionenergyviscositymodelēeaeukm AT mohdnormohdjailani assessmentengineoilusingukmacousticemissionenergyviscositymodelēeaeukm AT matfauziah assessmentengineoilusingukmacousticemissionenergyviscositymodelēeaeukm AT baharuddinaziz assessmentengineoilusingukmacousticemissionenergyviscositymodelēeaeukm |