Modeling of surface roughness in abrasive water jet machining of AZ91 magnesium alloy using Fuzzy logic and Regression analysis

Abstract

Surface irregularity of machined parts is one of the major machining characteristics that play an important role in determining the quality of engineering components. Abrasive water jet cutting has been proven to be an effective technology for processing various engineering materials. This work deals with the abrasive water jet machining of magnesium alloy (AZ 91). The abrasive water jet experiment was designed using response surface methodology (RSM). Surface roughness was measured on the machined magnesium alloy. Three variable input parameters such as water pressure (WP), Traverse speed (TS), and Stand-off distance (SOD) were selected as process parameters. Surface roughness was predicted fuzzy logic. Regression equation was used for predicting the SR value. From this investigation, it was observed that maximum pressure and minimum stand-off distance caused reduction in the surface roughness in the abrasive water jet machining of AZ91 magnesium alloy. Further, the developed fuzzy model was used to validate the results and it was found that the predicted values were in good agreement with a 95% confidence level. It was also evident that the fuzzy technique is helpful for better prediction of the experimental.