Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Milling

Optimization of Cutting Parameters in Milling Process Using Genetic Algorithm and ANOVA (March 2020)

Marwa Q. Ibraheem

Engineering and Technology Journal, 2020, Volume 38, Issue 10A, Pages 1489-1503
DOI: 10.30684/etj.v38i10A.1124

In this present work use a genetic algorithm for the selection of cutting conditions in milling operation such as cutting speed, feed and depth of cut to investigate the optimal value and the effects of it on the material removal rate and tool wear. The material selected for this work was Ti-6Al-4V Alloy using H13A carbide as a cutting tool. Two objective functions have been adopted gives minimum tool wear and maximum material removal rate that is simultaneously optimized. Finally, it does conclude from the results that the optimal value of cutting speed is (1992.601m/min), depth of cut is (1.55mm) and feed is (148.203mm/rev) for the present work.