Optimazation of nanofluid MQL condition using Al2O3 nanoparticle during Hard milling of AISI H13 alloy steel
Keywords:
Hard milling, Taguchi method, MQL, Al2O3 nanoparticles, Surface roughness, AISI H13Abstract
Minimum quanlity lubrication (MQL) using nanoparticles has been successfully applied in metal cutting to replace the traditional method. In particular, the selection of the parameters of the cooling condition plays an important role in improving machining quality. In this study, the effects of MQL parameters using nanoparticles including nanoparticle concentration, air pressure and flow rate on surface roughness were investigated. The nanoparticles added to the cutting oil are Al2O3 nanoparticles. The design of the experimental process as well as the data analysis was carried out by using the Taguchi method. The signal to noise ratio (S/N) and the variance analysis (ANOVA) were used to find the optimal MQL condition to get the best surface roughness. Also, the results show that the nanoparticle concentration is the factor having a great influence on the surface roughness.
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