OPTIMIZATION OF MQL PARAMETERS USING THE TAGUCHI METHOD IN MILLING OF WASPALOY
This study aimed to investigate the effect of the minimum quantity lubrication (MQL) parameters such as cutting oil type, flow rate, milling method, pulverization distance and nozzle type on average roughness (Ra) in milling of nickel based Waspaloy super alloy. During milling experiments, constant cutting speed (45 m/min), constant feed rate (0.1 mm/rev) and constant depth of cut (0.5 mm) selected were as machining parameters. Four different types of oil (vegetable, synthetic, mineral and mineral-synthetic), four different flow rates (25, 50, 75 and 100 ml/h), two different milling methods (down milling and up milling) two pulverization distances (25 and 50 mm) and two different nozzle types were selected as MQL parameters. The results were analyzed using 3D surface graphs, signal-to-noise ratio (S/N) and main effect graphs of means. Optimal operating parameters were determined using the S/N ratio and desirability function analysis. Mathematical models have been created for surface roughness. The analysis results indicated that the feed rate was the dominant factors oil type and flow ratio on surface roughness. In addition, confirmation test results showed that the Taguchi method was very successful in the optimization of MQL parameters in order to obtain minimum surface roughness in milling of Waspaloy super alloy.
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