Multi Objective Optimization of Cutting Parameters in Turning Operation to Reduce Surface Roughness and Tool Vibration

Optimization of Multi response is now-a-days mostly used optimization technique which is better than single response optimizing technique because all the output is affected at a time by all the input factors .The objective of this project work is to determine the optimal setting of cutting parameters (speed(N)m/min , depth of cut(d) mm , feed(f)mm/rev ) and variation in principal cutting edge angle (Φ) of the tool to have a reduced tool vibration (in terms of peak acceleration) and surface roughness(Ra) . In this work the experiment has been carried out in lathe dry turning (without using cutting fluid) of a commercially available 6061 grade aluminum as a work material and carbide insert tool (SCMT 09T308-TN5120). The ranges of process cutting parameters are cutting speed(11.86, 18.65,30.52m/min) ,feed rate(0.044,0.089,0.178 mm/rev), depth of cut(0.5,0.75,1.0mm) and the principal cutting edge angle (74,71,68 degree). This study highlights applications of Fuzzy logic and use of Taguchi experiment design to optimize the multi response parameters on turning operation. For this experiment Taguchi design of experiment was carried out to collect the data for surface roughness and tool vibration. The results indicate the optimum values of the input factors and the results are conformed by a confirmatory test