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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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Maxwell Science Publications
2013
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884340104&doi=10.19026%2frjaset.6.3604&partnerID=40&md5=75d860ebc38bcd1eb8d9050809e1d1db |
| Summary: | 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. |
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| ISSN: | 20407459 |
| DOI: | 10.19026/rjaset.6.3604 |