Comparative study on optimum design of rolling element bearing |
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| Affiliation: | 1. School of Materials Science and Engineering, Tianjin University, Tianjin 300072, China;2. Tianjin Key Laboratory of Advanced Joining Technology, Tianjin 300072, China |
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| Abstract: | Long fatigue life is the most important objective in the optimum design of rolling element bearing. In the present study the fatigue life of a radial ball bearing is maximized. The nonlinear constrained optimization problem has been solved using particle swarm optimization algorithm and a hybrid PSO and Teaching Learning based Optimization algorithm. The algorithm uses a ranking method of constraint handling and contact stress has been introduced as a new constraint. The results have been compared with the established available results. A constraint violation study has been carried out to prioritize the constraints. A convergence study has been performed to identify the key design variables. Encouraging results in terms of objective function values and CPU time have been reported in this study. |
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| Keywords: | Rolling element bearing Dynamic load capacity Particle swarm optimization Teaching–learning based optimization TLBO" },{" #name" :" keyword" ," $" :{" id" :" key0010" }," $$" :[{" #name" :" text" ," _" :" Teaching–learning based optimization algorithm GA" },{" #name" :" keyword" ," $" :{" id" :" key0020" }," $$" :[{" #name" :" text" ," _" :" Genetic algorithm PSO" },{" #name" :" keyword" ," $" :{" id" :" key0030" }," $$" :[{" #name" :" text" ," _" :" Particle swarm optimization |
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