OPTIMAL DESIGN OF SINGLE-ROW TAPERED ROLLER BEARINGS USING EVOLUTIONARY ALGORITHMS

摘要

Obtaining an optimal design of single-row tapered bearings is very important because they dramatically influence the operating accuracy and all sorts of costs of the machines in which they operate. But sometimes obtaining an optimal design is a difficult task to be accomplished. In the present paper to solve this optimal design problem the Evolutionary Algorithms are used and two optimization problems addressed: the first considers three genes (when all constant geometric parameters from ISO 355:-2007 are taken into account), while the second involves five genes (when also the contact angle and the inside diameter of cup back face are considered as variables). For both optimization problems the same traditional objective function is maximized: the basic dynamic radial load rating, C_r.