Fuzzy logic based model to predict maximum oil-film pressure in journal bearing
Article
| Article Title | Fuzzy logic based model to predict maximum oil-film pressure in journal bearing |
|---|---|
| ERA Journal ID | 201452 |
| Article Category | Article |
| Authors | Ahmed, Diyar I. (Author), Kasolang, S. (Author), Khidhir, Basim A. (Author) and Yousif, B. F. (Author) |
| Journal Title | Research Journal of Applied Sciences, Engineering and Technology |
| Research Journal of Applied Science, Engineering and Technology | |
| Journal Citation | 6 (20), pp. 3871-3878 |
| Number of Pages | 8 |
| Year | 2013 |
| Place of Publication | Reading, United Kingdom |
| ISSN | 2040-7459 |
| 2040-7467 | |
| Web Address (URL) | http://maxwellsci.com/print/rjaset/v6-3871-3878.pdf |
| Abstract | 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. |
| Keywords | fuzzy logic; hydrodynamic lubrication; journal bearing; oil-film pressure |
| ANZSRC Field of Research 2020 | 401708. Tribology |
| 469999. Other information and computing sciences not elsewhere classified | |
| 401706. Numerical modelling and mechanical characterisation | |
| Public Notes | © Maxwell Scientific Organization, 2013. This article is freely and permanently accessible online immediately upon publication. |
| Byline Affiliations | MARA University of Technology, Malaysia |
| Sulaimani Polytechnic University, Iraq | |
| Department of Mechanical and Mechatronic Engineering | |
| Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q213y/fuzzy-logic-based-model-to-predict-maximum-oil-film-pressure-in-journal-bearing
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