Fuzzy logic based model to predict maximum oil-film pressure in journal bearing

Ahmed, Diyar I. and Kasolang, S. and Khidhir, Basim A. and Yousif, B. F. (2013) Fuzzy logic based model to predict maximum oil-film pressure in journal bearing. Research Journal of Applied Sciences, Engineering and Technology , 6 (20). pp. 3871-3878. ISSN 2040-7459

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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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © Maxwell Scientific Organization, 2013. This article is freely and permanently accessible online immediately upon publication.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 26 Sep 2013 23:50
Last Modified: 07 Feb 2017 06:25
Uncontrolled Keywords: fuzzy logic; hydrodynamic lubrication; journal bearing; oil-film pressure
Fields of Research : 09 Engineering > 0913 Mechanical Engineering > 091309 Tribology
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/24081

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