Vortex Core Axial Velocity and Vortex Center Position in Tip Leakage Vortex Using Neural Network Model

Mostafa.Y.El-Bakry

Neural Networks, Resilient Propagation (RPROP), vortex core axial velocity, vortex center position, clearance.

This paper presents dependence of the vortex core axial velocity and vortex center position on clearance in a tip leakage vortex (TLV) for different angles using a system of neural networks (NNs) simulation in which the Resilient Propagation (RPROP) algorithm is applied. These studies are simulation of the vortex core axial velocity and vortex center position as a function of clearance at different angles. The system was trained on the available data of the two cases. The trained NN shows a better agreement with that of an experimental data in two cases; vortex core axial velocity and vortex center position.