Abstract

Dam Length Optimization Of Two Lobe Pressure Dam Bearing Using Genetic Algorithm

Lintu Roy and Arunabh Choudhury

This paper attempts to find out the optimum length of pressure dams taking into account the various steady state characteristics of two lobe bearing. The length of the dam selected varies with eccentricity ratios of operation. Determination of Optimum performance is based on maximization of non-dimensional load, maximization of flow coefficient and minimization of friction variable using Genetic Algorithm. The result obtained gives an insight on how the performance of two lobe bearing can be enhanced using pressure dam. The data obtained from the above can be used conveniently in the optimum design of such bearings, as these are presented in dimensionless form.