Experimental investigation and fuzzy modelling of flatness and surface roughness for wcb material using face milling operation

Abstract

Optimum selection of process parameters may help to achieve the best dimensional and geometric tolerances during machining. This can be achieved by developing a model using the experimental data, which in turn helps in prediction of the responses in context of input variables. The present paper deals with the investigation of WCB material, a base material for valve. 23 full factorial design with four centre points is selected to perform the reliable experiments. Here the input variables are spindle speed, feed rate and depth of cut. While the output parameters are surface roughness and flatness. The soft computing technique Fuzzy Logic is applied to predict the responses. The values predicted from the model and experimental values are very close, with more than 95% accuracy. Further four more experiments are performed at various combinations for validation of developed model. The error in the predicted and measured values are less than 8%, shows the validity of model for further use.