Optimization of machining parameters & studies on characteristics of Monel k400 alloy using abrasive water jet Machining using ANFIS

Abstract

The Monel k400 alloy is a nickel-copper based alloy with an excellent corrosion resistance that exhibits better weldability and high strength. Also, it exhibits excellent resistance to either rapid flowing brackish water or seawater. Monel k400 alloy (UNS N04400) is widely used in oil, chemical and marine industries. Therefore, machinability of material plays a vital role in adopting material. As a result, in the current work, Monel k400 is used and manufactured utilizing an advanced machining method called an AWJM to examine the impact of process parameters on the machinability of alloy. The purpose of this study was to investigate the effects of abrasive mass flow rate, nozzle traverse speed, and stand-off distance on surface roughness. Adaptive Neuro-Fuzzy Inference System (ANFIS) model is used in order to predict surface roughness upon varying Abrasive Water Jet Machining process parameters for a lesser prediction error. In AWJM process Mean Absolute Percentage Error (MAPE) in between experimental, predicted surface roughness is found to be 3.46% which reflects efficacy of ANFIS model in predicting of surface roughness was evaluated to an extent of credibility. Also, the coefficient of determination R2 is evaluated and found to be 0.943, which indicates a good fit for prediction using the model against measured surface roughness values.