Design optimization of Plain Journal Bearing to Minimize the Power loss using Genetic algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 8
Abstract
A hydrodynamic journal bearing optimization of design variables is a very complex task. The typical and time consuming nature the present study genetic algorithm is to utilize to optimally design a plain journal bearing and to develop the best bearing configurations to minimize power loss. A genetic algorithm with suitable number of design variables, population, crossover and mutation probabilities is formulated. The power loss equation and a fitness based selection method is utilized. In this study bearing radial clearance, oil viscosity is considered as design input variable. The proposed algorithm shows better results than available in literature with very rapid convergence.
Authors and Affiliations
Vijay Kumar Dewangan, Leeladhar Rajput, Akash Sharma
Keywords
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- EP ID EP22557
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