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Mechanical design; design optimization; deep groove ball bearings; multi-objective optimization; particle swarm optimization; crowding distance.

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

1. Department of Industrial Engineering and Management, Maulana Abul Kalam Azad University of Technology, Kolkata 700064, India
2. Indian Institute of Management Raipur, GEC Campus, Sejbahar, Raipur 492015, India
3. Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Hyderabad 500090, India
4. Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India

Published

January 2018

Manuscript received

28 July 2016

Manuscript revised

31 May 2017

Accepted

3 June 2017