Design predictive tool and optimization of journal bearing using neural network model and multi-objective genetic algorithm-Reference-Cited by-同舟云学术

Design predictive tool and optimization of journal bearing using neural network model and multi-objective genetic algorithm

Published:2011-10 Issue:5 Volume:18 Page:1095-1105
ISSN:1026-3098
Container-title:Scientia Iranica
language:en
Short-container-title:Scientia Iranica

Author:

Ghorbanian J.,Ahmadi M.,Soltani R.

Publisher

Elsevier BV

Subject

General Engineering

Reference35 articles.

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2. Dubois, G.B., Ocvirk, F.W. and Wehe, R.L. “Experimental investigation of eccentricity ratio, friction, and oil flow of long and short journal bearings with load-number charts”, NACA. TN., 3491 (1955).

3. Bearings for reciprocating machinery: a review of the present state of theoretical, experimental and service knowledge;Campbell;Proceedings of the Institution of Mechanical Engineers,1968

4. Development in engine bearing design;Martin;Int. J. of Tribology,1983

5. Dynamically Loaded Hydrodynamic Fluid Film Bearings; Status Report on Some Selected Topics in Theoretical and Applied Mechanics;Majumdar,1994

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