A Multiobjective Ideal Design of Rolling Element Bearing Using Metaheuristics
Longest fatigue life is one of the most decisive criteria for design of rolling element bearing. However, the lifetime of bearing will depend on more than one numbers of explanations like fatigue, lubrication, thermal traits. Within the present work, two main goals specifically the dynamic load capability and elastohydrodynamic lubrication minimal film thickness have been optimized simultaneously utilizing a multiobjective optimization algorithm centered upon particle swarm optimization. The algorithm accommodates the generalized approach to control combined integer design variables and penalty function strategy of constraint dealing with. The outcomes obtain are encouraging in view of objective function value and computational time. A convergence learns has been applied to make certain the most desirable factor in the design. The most suitable design outcome shows the effectiveness and efficiency of algorithm without constraint violations.
KeywordsMultiobjective Particle swarm optimization Constraint violations
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