Experimental Measurement of Erosive Wear and Development of Prediction Model Using Adaptive Nero Fuzzy Inference System

Abstract

An investigation has been made to predict the erosion wear of slurry. Experimental setup was developed and experiments were conducted with slurry erosion tester. Based on results of experimentation regression model was developed results of this and experimental results were then compared with prediction model developed with adaptive Nero Fuzzy Inference System. It is observed that the regression model has an error of 25%. However with ANFIS prediction model wear prediction error was reduced to about 6%.