• Niket Vishnu Malvade
• Dr. Raju S. Pawade

This research involves milling investigations on Magnesium Calcium Alloy with DLC coated carbide cutting inserts. The experiment was originally planned using the Central Composite method, which took into account the machining variables of depth of cut, feed, and spindle speed. Surface roughness and cutting forces were measured for each experimental run. Using the ANOVA method, the 95 percent confidence interval was used to test the models' adequacy. Because the influence of machining settings on surface roughness and cutting forces is conflicting, the topic is characterized as a multi-objective optimization problem. As a consequence, Gray relational analysis (GRA) was used to fit the values and identify the optimal solution. The ANOVA results showed that the feed rate has the greatest impact on surface roughness. For the principal cutting force, speed is a most significant influencing factor

Face Milling, ANOVA, GRA. RSM.

"MODELLING AND MULTI-RESPONSE OPTIMIZATION OF FACE MILLING PROCESS BASED ON GRA APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.141-146, August-2022, Available :http://www.jetir.org/papers/JETIRFQ06028.pdf

"MODELLING AND MULTI-RESPONSE OPTIMIZATION OF FACE MILLING PROCESS BASED ON GRA APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp141-146, August-2022, Available at : http://www.jetir.org/papers/JETIRFQ06028.pdf