Thermal Based Optimum Design of Tapered Roller Bearing Through Evolutionary Algorithm

Abstract

In high-speed applications the maximum temperature in bearings are a crucial concern. In some applications the bearing is the prime source of heat, the temperature at which a bearing operates dictates the type and amount of lubricant and the material for the fabrication of the bearing components. In the present work a thermal based optimum design of tapered roller bearings has been presented. Internal geometry of the bearing has been optimized based by evolutionary algorithm. Constraints are geometrical, kinematical, strength and thermal in nature. Optimum designs have been found to have better performance parameters. Artificial bee colony algorithm has been used for the present optimization problem, for solving constrained non-linear optimization formulations. A total of nine design variables corresponding to the bearing geometry and constraint factors have been considered. A convergence study has been carried and optimum designs based on temperature is compared with the optimized values based on dynamic capacity, both using artificial bee colony algorithm. There is an excellent improvement found in the optimized bearing designs based on temperature when compared with the optimized results based on dynamic capacity in respect of the maximum temperature in the bearing with the artificial bee colony algorithm.

Optimal design of tapered roller bearings for maximum rating life under combined loads

“…Equation (19) shows that the basic rating life, L 10 , is proportional to the functions φ and ω 10 . From (21) we see that, for given radial load F r , function φ increases more than quadratically with the filling ratio, ζ, and the aspect ratio, λ, and goes up with the sixth power of the pitch diameter, D. Function φ can be regarded as a control factor through which the basic rating life, L 10 , can easily be made large at will by increasing the pitch diameter.…”

“…eugenio.dragoni@unimore.it from a catalogue) towards these components, until the turn of the century the technical literature has been limited to optimal bearing selectors [3] and simulators of bearing kinematics [4]. Papers dealing with the optimization of bearing features have appeared only lately, aimed at maximizing one or several performance properties of ball bearings [5][6][7][8][9][10][11], cylindrical roller bearings [12,13] and tapered roller bearings [14][15][16][17][18][19]. For a detailed review of the literature on ball and cylindrical roller bearing optimization see [20,21].…”

Comparative study on optimum design of rolling element bearing

“…Tiwari et al [9] developed an optimum design methodology for tapered roller bearing to increase the fatigue life. Waghole and Tiwari [10] described the dynamic load optimization of needle roller bearing using metaheuristics such as artificial bee colony optimization algorithm(ABCA), differential search algorithm(DSA), grid search method(GSM) and hybrid method (HB) involving ABCA/DSA/and GSM.…”

Optimal design of paired tapered roller bearings under centred radial and axial static loads

“…Though interesting for the potential of improvements it shows, Wang et al's paper [17] does not provide details on the optimization method behind the model and little can be taken away from the published results apart from the specific example presented. Two comprehensive contributions to the optimal design of tapered roller bearings have recently been published by Tiwari et al [18,19]. These two papers contain also excellent reviews of the technical literature on rolling bearings and the various optimization methods applied so far to bearing design.…”

“…Papers dealing with the optimization of bearing features have appeared only lately, aimed at maximizing one or several performance properties of ball bearings [5][6][7][8][9][10][11], cylindrical roller bearings [12,13] and tapered roller bearings [14][15][16][17][18][19].…”