Application of crow search algorithm for the optimization of abrasive water jet cutting process parameters

The present work deals with the prediction of optimal parametric data-set to yield the minimum surface roughness in Abrasive Water Jet (AWJ) cutting of ceramic Tile. By means of a Box–Behnken experiment design technique, an experiment matrix with three factors and three levels was designed. Quadratic model for surface roughness was developed to fit with experimental data. Then, the improved optimal combination of the process parameters is evaluated by proposed methodology of most efficient crow search algorithm. Further, experimentally validation test has been conducted for the optimal cutting conditions suggested by crow search algorithm.