Fuzzy prediction of slurry erosive behavior of cobalt based clad developed through microwave energy

Abstract

The stainless steel AISI-420 widely used in the manufacture of brake discs, turbine blades, piston submerged in water pumps, injection molds.etc. The present work deals with slurry erosive wear studies of cobalt based clads developed through microwave energy in a domestic microwave oven equipped with 900 W power at 2.45 GHz .The developed clads were subjected to microstructure and sand slurry erosive wear studies were carried out. Taguchi orthogonal array L9 was used to gauge the factors affecting the wear significantly. The influence of various factors such as speed, particle size and impingement angle on wear behavior was evaluated by means S/N ratio. This study reveals the slurry speed had significantly influenced the mass loss of the developed surfaces. The most popular and highly reliable analytical technique Fuzzy logic model has been successfully used to predict the slurry erosive wear behavior. The predicted values have been compared with the experimental data. The obtained average percentage error between experimental and fuzzy logic values are 13.80%.