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...

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Published in:Research Journal of Applied Sciences, Engineering and Technology
Main Author: Ahmed D.I.; Kasolang S.; Khidhir B.A.; Yousif B.F.
Format: Article
Language:English
Published: Maxwell Science Publications 2013
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884340104&doi=10.19026%2frjaset.6.3604&partnerID=40&md5=75d860ebc38bcd1eb8d9050809e1d1db
id 2-s2.0-84884340104
spelling 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
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