Optimal Design of Tapered Roller Bearings Based on Multi-Physics Objectives Using Evolutionary Algorithms

Rolling element bearing is the most common machine element in rotating machinery. An extendedl ife is among the foremost imperative standards in the optimal design of rolling element bearings,whichc onfide on the fatigue failure,wear,and thermal conditions of bearings. To fill the gap,in the current work,a ll three objectives of a tapered roller bearing have been innovatively considered respectively,which are thed ynamic capacity,elasto-hydrodynamic lubrication(EHL)minimum film-thickness,and maximum bearingt emperature. These objective function formulations are presented,associated design variables are identified,a nd constraints are discussed. To solve complex non-linear constrained optimization formulations,a best-p ractice design procedure was investigated using the Artificial Bee Colony(ABC)algorithms. A sensitivitya nalysis of several geometric design variables was conducted to observe the difference in all three objectives.An excellent enhancement was found in the bearing designs that have been optimized as compared with bearing standards and previously published works. The present study will definitely add to the present experience based design followed in bearing industries to save time and obtain assessment of bearing performance before manufacturing. To verify the improvement,an experimental investigation is worthwhilec onducting.