Design Optimization of Rolling Element Bearings Using Advanced Optimization Technique

Abstract

This article concentrates on optimization of fatigue life, i.e., dynamic capacity of rolling element bearings by using a novel optimization approach known as Teaching–Learning-Based optimization. The optimization technique is applied to two cases of bearing, i.e., deep groove ball bearing and cylindrical roller bearing, by considering a large number of bearings and their associated constraints. The chosen problems involve around 9 design variables and the optimized result obtained shows considerable improvement over the previous results, standard catalogues and handbooks. Efforts are also made to validate the obtained results using finite element analysis approach and the simulated results of contact stress and deformation at the contact between inner race and roller are found in close agreement with the obtained optimum results. Thus, this article proves good applicability of proposed optimization approach in bearing design which will be useful to the on field designers to improve the performance of bearings.