Design analysis of Mixed Flow Pump Impeller Blades Using ANSYS and Prediction of its Parameters using Artificial Neural Network

摘要

Mixed flow pumps are extensively used in large thermal power plants for cooling water duties. However, design of mixed flow pump impeller and its blades seems to be fairly complicated operation even to the person having thorough technical knowledge in the field of turbomachinery.The main aspect of designing an impeller blade for a mixed flow pump impeller is the root section which encounters the maximum stress. Here in this paper mixed flow pump impeller blades are designed having two different blade positioning in the meridional annulus. The stress development in the pump blades are evaluated using FEM analysis. Artificial neural network (ANN) is used to optimize the thickness of the aero foil blade cross-section with respect to Von-misses stress. It is observed that the mixed flow pump impeller blade with inlet inclined blade position in the meridional annulus is more suitable with respect trapezoidal blade as predicted through ANN using RAPID MINER 5.3 software. This is because of the fact that the mean square error for inlet inclined position is much less than that for the trapezoidal blade.