Prediction of the hydrodynamic performance and cavitation volume of the marine propeller using gene expression programming

Abstract

ABSTRACTIn the present study, hydrodynamic performance and cavitation volume of the marine propeller under different geometrical and physical conditions are evaluated by using three models which are proposed through gene expression programming (GEP). To this accomplishment, computational fluid dynamics (CFD) data of propeller thrust, torque and cavitation volume under different pitch ratio (Pr), rake angle (RA) and skew angle (SA), advance velocity ratio (J) and cavitation number (s) are considered as inputs–outputs of GEP models. Then, mathematical equations are obtained for the thrust, torque and cavitation volume in terms of the geometrical and physical prescribed parameters. In order to evaluate the performance and accuracy of the GEP models, four statistical measures including root mean square error (RMSE), mean absolute error (MAE), scatter index (SI) and coefficient of determination (R2) are used. The final models are found to be of reasonable accuracy between observed and GEP-predicted values.