Title: Multi-objective design optimisation of deep groove ball bearing for wind turbine generator

Authors: Prasun Bhattacharjee; Rabin K. Jana; Somenath Bhattacharya

Addresses: Department of Mechanical Engineering, Jadavpur University, Kolkata, WB 700032, India ' Operations and Quantitative Methods Area, Indian Institute of Management Raipur, GEC Campus, Sejbahar, CG 492015, India ' Department of Mechanical Engineering, Jadavpur University, Kolkata, WB 700032, India

Abstract: Although installed wind power capacity has expanded globally at an unprecedented rate over the past few decades, a substantial portion of wind turbine operational time is wasted each year due to the unplanned breakdown of mechanical components like generator bearings. This paper employs artificial intelligence techniques like the multi-objective genetic algorithm (MOGA) and multi-objective whale optimisation algorithm (MOWOA) simultaneously for design optimisation of deep groove ball bearing engaged in wind turbine generator for improved performance. The maximisation of static capacity, dynamic capacity, elastohydrodynamic minimum film thickness, and minimisation of frictional power loss of the generator bearings have been considered as the optimisation objectives. The proposed MOGA is found to be more efficient in offering better design solutions compared with MOWOA and industrial quiet running wind turbine generator bearing standards.

Keywords: wind power; multi-objective design optimisation; quite running bearing; deep groove; multi-objective genetic algorithm; MOGA; multi-objective whale optimisation algorithm; MOWOA.

DOI: 10.1504/IJDE.2022.130436

International Journal of Design Engineering, 2022 Vol.11 No.2, pp.103 - 118

Received: 13 Nov 2021
Received in revised form: 16 Sep 2022
Accepted: 18 Sep 2022
Published online: 20 Apr 2023 *

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