Precession Effects on Rotating Machinery Parts in Ships

Deniz Ünsalan, Gökdeniz Neser

Dokuz Eylul University Institute of Marine Sciences and Technology
Baku B. 32, Inciralti, (35340) Izmir / TURKEY
{deniz.unsalan, gokdenizneser}@deu.edu.tr

Abstract

This paper focuses on the use of genetic algorithms in developing an efficient optimization method for fixed geometry journal bearings, considering system stability along with other design criteria, namely power loss, film thickness, film temperature, and film pressure. The results obtained and presented in this study are compared to the results of numerical optimum design methods such as gradient-based method, and show the potential of genetic algorithms in design optimization of three-lobe journal bearings.

Keywords: stability, genetic algorithm, optimization, journal bearing, rotating machines