Design Optimization of a Three-Lobe Journal Bearing Using a Genetic Algorithm


Hamit Saruhan

Technical Education Faculty
University of Abant Izzet Baysal


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