Improvement in textured hole-entry hybrid journal bearing system by using multi-objective genetic algorithm
Authors :- SK Yadav, GD Thakre, CB Khatri
Publication :- Journal of the Brazilian Society of Mechanical, 2022
In the past few decades, various studies have been performed by using textured surfaces in bearings to improve static performance characteristics friction and improve load-carrying capacity of the bearing. Surface texture also results in changes in dynamic performance characteristics of the journal bearing. The present work aims to improve the dynamic performance parameter and stability with the help of optimized textured design. As the calculation of bearing stiffness and damping parameter is quite a complex procedure, therefore, to obtain optimum texture parameter, a multi-objective genetic algorithm is used. A finite element model with the use of a genetic algorithm is developed to improve bearing performance parameters. With the use of optimum texture dimensions up to 25% improvement in the value of stability parameter is observed. It is expected that the results will be quite helpful for the bearing designer to make a stable and efficient bearing.