Multi Response Optimization on Machining Titanium Alloy Using Taguchi-DEAR Analysis in Abrasive Water Jet Cutting

Abrasive water jet cutting has been proven to be an effective technology for processing various engineering materials. This paper investigated the effects of process parameters on depth of cut in abrasive water jet cutting of titanium alloy. Four different process parameters were undertaken for this study; water pressure, nozzle traverse speed, abrasive mass flow rate and standoff distance. The influence of these process parameters on depth of cut, surface roughness and MRR has been investigated and analyzed. An empirical model for the prediction of depth of cut in abrasive water jet cutting of cast iron has been developed using regression analysis. The approach is based on Taguchi-DEAR method to optimize the AWJM process parameter for effective machining. It has been found that the stand-off-distance has highest impact on performance measures among all process parameters.