Optimization of Surface Quality and Power Consumption in Machining Hardened AISI 4340 Steel

Hard turning has become an attractive method of machining for most manufacturers in the last few years due to its low cost and superior surface quality compared grinding. In this experimental study, machinability hardened steel under dry on a CNC lathe is undertaken optimize cutting parameters minimum roughness energy consumption with speed (320, 450, 575), tool type (coated uncoated), feed rate (0.1, 0.18, 0.26) as input parameters. The Taguchi method, based L18 orthogonal array, variance analysis, signal-to-noise ratios, response methodology have been used (Ra) power (Cp). Optimum levels were determined, relationship between output variables was analyzed aid two-dimensional three-dimensional graphics. results show that effective parameter (78%), while (90%). combination high necessary minimizing roughness. Besides, impact two-factor interactions rate-cutting depth cut-cutting appears be substantial. linear regression models validated using confirmation tests. Finally, coefficients determined mathematical model, it observed estimated model yielded very similar those achieved via real experiment (correlation values: 97.64% 98.72% consumption).