Application of advanced optimization techniques in the selection of optimal process parameters and failure prediction of anti-frictional bearings-A review

Abstract

Engineering design generally considered as goal-oriented, controlled, conclusion making process to manufacturing a product. While designing a mechanical component, designers always consider certain objective like tensile and flexural strength, deflection, weight, wear and tear, fatigue, etc. It is very difficult to accommodate all the objectives govern by multiple variables in the design of components. For this purpose, concentration has been given on the optimization of certain components of the mechanical design specially bearing. Bearings are extensively used in machine to reduce the friction and enhance rotational motion. Any critical failure of it, would not only affect the overall systems performance but also its reliability, safety, availability and cost-effectiveness. Objectives like long fatigue life i.e. higher dynamic load capacity, rating life need to be achieved collectively in the design of the rolling element bearing. The objective of this article is to highpoint influence of the advanced optimization techniques in design optimization and to determine and understand various methods of fault diagnosis of bearings to accomplish superior performance and to withstand global competitive environment.