Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing
Oil-film pressure response is one of the key parameters that describe the operating conditions in hydrodynamic lubrication regimes. In the present study, a fuzzy logic model is developed to predict the maximum oil-film pressure in hydrodynamic plain journal bearing. In the development of predictive...
Published in: | Research Journal of Applied Sciences, Engineering and Technology |
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Maxwell Science Publications
2013
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2-s2.0-84884340104 Ahmed D.I.; Kasolang S.; Khidhir B.A.; Yousif B.F. Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing 2013 Research Journal of Applied Sciences, Engineering and Technology 6 20 10.19026/rjaset.6.3604 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884340104&doi=10.19026%2frjaset.6.3604&partnerID=40&md5=75d860ebc38bcd1eb8d9050809e1d1db Oil-film pressure response is one of the key parameters that describe the operating conditions in hydrodynamic lubrication regimes. In the present study, a fuzzy logic model is developed to predict the maximum oil-film pressure in hydrodynamic plain journal bearing. In the development of predictive model, journal bearing parameters of rotational speed, bearing load and oil-feed pressure are considered as model independent variables. For this purpose, a number of experiments, based Box-Behnken experiment Design technique (BBD), are performed to observe the maximum oil-film pressure values. The results revealed that the model is able to predict maximum oil-film pressure adequately. © Maxwell Scientific Organization, 2013. Maxwell Science Publications 20407459 English Article All Open Access; Hybrid Gold Open Access |
author |
Ahmed D.I.; Kasolang S.; Khidhir B.A.; Yousif B.F. |
spellingShingle |
Ahmed D.I.; Kasolang S.; Khidhir B.A.; Yousif B.F. Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing |
author_facet |
Ahmed D.I.; Kasolang S.; Khidhir B.A.; Yousif B.F. |
author_sort |
Ahmed D.I.; Kasolang S.; Khidhir B.A.; Yousif B.F. |
title |
Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing |
title_short |
Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing |
title_full |
Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing |
title_fullStr |
Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing |
title_full_unstemmed |
Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing |
title_sort |
Fuzzy logic based model to predict maximum Oil-film pressure in journal bearing |
publishDate |
2013 |
container_title |
Research Journal of Applied Sciences, Engineering and Technology |
container_volume |
6 |
container_issue |
20 |
doi_str_mv |
10.19026/rjaset.6.3604 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884340104&doi=10.19026%2frjaset.6.3604&partnerID=40&md5=75d860ebc38bcd1eb8d9050809e1d1db |
description |
Oil-film pressure response is one of the key parameters that describe the operating conditions in hydrodynamic lubrication regimes. In the present study, a fuzzy logic model is developed to predict the maximum oil-film pressure in hydrodynamic plain journal bearing. In the development of predictive model, journal bearing parameters of rotational speed, bearing load and oil-feed pressure are considered as model independent variables. For this purpose, a number of experiments, based Box-Behnken experiment Design technique (BBD), are performed to observe the maximum oil-film pressure values. The results revealed that the model is able to predict maximum oil-film pressure adequately. © Maxwell Scientific Organization, 2013. |
publisher |
Maxwell Science Publications |
issn |
20407459 |
language |
English |
format |
Article |
accesstype |
All Open Access; Hybrid Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1812871802161987584 |