Optimization of Dynamic Load Carrying Capacity of Tapered Roller Bearing Using Advanced Optimization Technique

Abstract

In the design of tapered roller bearings, long life is the one of the most important criterion. Roller bearings are used mostly in mechanical equipment due to its low friction capability. Tapered roller bearing is selected and the objective function is to maximize dynamic load capacity. Design variables for the bearing include four geometrical parameters: the bearing pitch diameter, the diameter of the roller, the effective length of the roller, and the number of rollers. These directly affect the dynamic capacity of tapered roller bearings. In addition to these, another five design constraint constants are included, which indirectly affect the basic dynamic capacity of tapered roller bearings. The five design constraint constants have been given bounds based on the parametric studies through initial optimization runs. The Genetic Algorithms based Optimization technique is selected for the Optimization of tapered roller bearing. Efforts are made to maximize the dynamic load carrying capacity of tapered roller bearing with given design parameters and constraints. Keyword: Tapered roller bearing, optimum design, genetic algorithms