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Design optimization of deep groove ball bearings using crowding distance particle swarm optimization

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Abstract

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 elasto-hydrodynamic 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 obtained from the technique are found to be superior compared with NSGA-II and catalogue values.

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Acknowledgements

The authors would like to thank the reviewers and the Associate Editor for their great help in improving the quality of the paper. The first author would like to thank the TEQIP Cell of Maulana Abul Kalam Azad University of Technology, Kolkata, India, for providing financial support for carrying out this research.

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Correspondence to R K Jana.

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Duggirala, A., Jana, R.K., Shesu, R.V. et al. Design optimization of deep groove ball bearings using crowding distance particle swarm optimization. Sādhanā 43, 9 (2018). https://doi.org/10.1007/s12046-017-0775-9

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  • DOI: https://doi.org/10.1007/s12046-017-0775-9

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