• MIHIR TADVI

Abrasive jet drilling process (AJDP) removes the material by erosion action by simultaneous control of number of process parameters. This paper highlights a logical procedure for selection of optimal process parameters in Abrasive jet drilling process to achieve high quality without cost inflation. In present work authors have tried to investigate effect of various AJDP process parameters such as air pressure, abrasive particle size, stand-of-distance on responses, material removal rate by conducting full factorial experiments. Artificial Neural Network model is developed to capture relationship between input and output parameters as a predictive tool to predict the performance of the process.

Keywords: AJDP, GRA, Optimization,MRR,ROC

"Artificial Neural Network Modeling for Prediction of Performance in Abrasive Jet Drilling Process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.499-504, June 2019, Available :http://www.jetir.org/papers/JETIR1907I60.pdf

"Artificial Neural Network Modeling for Prediction of Performance in Abrasive Jet Drilling Process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp499-504, June 2019, Available at : http://www.jetir.org/papers/JETIR1907I60.pdf