• Sankar Ram K
• Praveen Kumar PK
• Aravind R

The present paper outlines an experimental study to explain the effect of various process parameters on hard turning of EN19, is a high quality alloy steel which is heat treated to 50HRC. Four parameters were chosen as process variables: Speed, Feed, and Depth of cut and coolant flow rate. Surface roughness, tool-work piece interface temperature, is selected as responses. Design of experiment is prepared using Box-Behnken designs in Response surface methodology. Minitab-17, a software environment for statistical computing and graphics is applied successfully for analyzing the effect of different process parameters. An attempt is be made to optimize the cutting parameters using Genetic algorithm in the focus of attaining minimum surface roughness, minimum work piece temperature.

"Multi Objective Optimization of EN19 Turning process Using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.246-252, January-2019, Available :http://www.jetir.org/papers/JETIR1901234.pdf

"Multi Objective Optimization of EN19 Turning process Using Genetic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp246-252, January-2019, Available at : http://www.jetir.org/papers/JETIR1901234.pdf