Modeling and Ga-based Optimization Of The Split Drive Shafts

This paper presents a method based on experimental modal analysis for F.E. modeling and parameter identification of a split drive shaft with the emphasis on the complexity of the flexible coupling (FC) modeling. It also presents a genetic algorithm optimization method for optimum design of the system for vibration suppression. First, a nonparametric model of the system has been obtained using experimental modal analysis.Subsequently, an integrated F.E. model has been presented, where couplings are substituted by a set of springs and dampers in radial and longitudinal shaft direction. The parametric values of the inherent parameters in the model have been identified from experimental data. In this context, several standard and rational criteria have been presented. A genetic algorithm has been developed to find the optimum values for changeable parameters. Obtained design shows considerable improvement comparison with the present split drive shaft.

Keywords:

Split Drive Shaft , Vibration , Modal Analysis , Genetic Algorithm , Flexible Coupling