Design optimization of deep groove ball bearings using crowding distance particle swarm optimization
APARNA DUGGIRALA R K JANA R VENKAT SHESU PRASUN BHATTACHARJEE
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This paper presents a crowding distance particle swarm optimization technique to optimize the design parameters of deep groove ball bearings. The design optimization problem is multi-objective in nature. The considered objectives are maximizing dynamic and static load bearing capacities and minimizing elastohydrodynamic film thickness. The technique is applied to bearings used in transmission system of a tractor for the purpose of farming. Pareto optimal solutions are obtained using the proposed technique. The results obtainedfrom the technique are found to be superior compared with NSGA-II and catalogue values.
APARNA DUGGIRALA1 R K JANA2 R VENKAT SHESU3 PRASUN BHATTACHARJEE4
Volume 48, 2023
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