Prediction and optimization of process parameters of green composites in AWJM process using response surface methodology

The objective of this paper is to develop a response surface methodology (RSM)-based optimization design for process parameter optimization of abrasive water jet machining (AWJM) process on machining of green composites. The experiments are performed based on the Box-Behnken design, and most optimal parameters are selected using multi-response optimization through desirability. The machining parameters are pressure within the pumping system (PwPS), stand-off distance (SoD), and nozzle speed (NS). The corresponding response parameters that have been identified are surface roughness (Ra) and process time (PT). Additionally, the significance of the developed optimization design has been identified using analysis of variance (ANOVA). Finally, the validity and adequacy of the developed model are done through confirmation tests. The numerical result shows that the optimum process parameters obtained are PwPS (150 MPa), SoD (3.5 mm), and NS (125 mm/min), and also the percentage error in prediction of response parameters is reasonable and comparable with the experimental results. The proposed design can be used as a systematic framework for parameter optimization in environmentally conscious manufacturing processes.