slugDesign Formulation and Optimum Load Carrying Capacity of Hydrodynamic Journal Bearing By using Genetic Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 2
Abstract
The ever increasing demand of lower initial costs for bearing, to withstand competition, has prompted engineers to apply optimization methods in bearing design. The optimization scheme that optimizes load carrying capacity with respect to clearance along with minimization of power loss, temperature rise, geometry of grooves, film thickness, film pressure, eccentricity, journal surface velocity etc. i.e., parameters which governs the performance of the bearing. The load carrying capacity with respect to clearance relation derived from Reynolds equation. The optimization is carried out by Genetic Algorithm (GA) tool in MATLAB software. The study is motivated by bearing design available in literature though very limited works seems to be available in the area of optimum design of bearing. In this paper it is planned to concentrate upon the design parameter and design formulation of hydrodynamic short journal bearing and thus optimization using GA tool. This tool is based on GA which is derived from Darwin Theory of Evolution wherein natural selection and heredity governs the whole performance.
Authors and Affiliations
Amit Solanki, Prakash Patel, Bhagirath Parmar
Keywords
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