Investigation Of Start-Up Torque Of Plain Journal Bearing And Design Optimization Using Genetic Algorithm To Minimize The Power Loss
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 12
Abstract
The main focus of this work is optimization of design variable in a hydrodynamic journal bearing. The purpose of this study of genetic algorithm is to optimally design a plain journal bearing to improve machines performance and to minimize power loss in start- up friction torque. A genetic algorithm is a process of natural selection and used to generate high-quality solution to optimized through mutation, crossover and selection. The power loss in start-up friction torque equation fitness based selection method is used. This study considered bearing oil viscosity and radial clearance as design input variable. Genetic algorithm proposed for better result in this work using MATLAB.The optimized results plotted in a graph of the algorithm under consideration.
Authors and Affiliations
Amrita Singh, Harishankar Chandra
Keywords
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