Abrasive water jet machining (AWJM) rapidly processes diverse materials compared to modern techniques. Titanium alloys, used in aircraft engines, medical implants, and tools resist conventional machining due to low thermal conductivity, favouring this technology. The trials are performed in accordance with the Taguchi L 25 orthogonal array. Employment of response surface methodology (RSM) to determine efficient machining set up of process parameters has been accomplished in this study. Controlled variables considered are water pressure (P), transverse speed (TS), stand—off distance (SoD) and abrasive flow rate (AFR). The integration of the weighted—grey relational analysis (WGRA) approach has enabled authors to evaluate performance of machine. Measured responses are Rockwell hardness C—scale (HRC 100), machining time (MT), and surface roughness (SR). The position P 4 AFR 4 SoD 2 TS 5 represents the location for the maximum grey relational grade, which suggest that highest pressure and abrasive flow rate condition for achievement of best result with minimum speed targeted from lower distance. The participation percentage is as follow of 78.47 %, 6.27 %, 6.05 %, and 5.49 %, respectively. Improvement in the machine performance is microscopically analysed and influence upon mechanism is explained.
Chaturvedi et al. (Thu,) studied this question.
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