Abstract
The milling process is a machining process widely used in recent days in the field of automobile, biomedical, tool and die industries and aerospace. In this research, the influence of the cutting parameters on the cutting temperature and surface roughness were investigated in the milling of Ti-6Al-4V alloy. Cutting speed, cutting feed, axial depth of cut and concentration of multiwall carbon nanotubes (MWCNT’s) nano-fluid are selected as the control factors. Response surface methodology (RSM) based desirability function analysis (DFA) approach was used in the optimization of the cutting parameters for cutting temperature (Ct) and surface roughness (Ra). The analysis of variance (ANOVA) is used to analyze the contribution percentages of the cutting parameters. According to the statistical analysis results, it was determined that cutting speed influences at maximum for cutting temperature and nanoparticles MWCNTs concentration influences at maximum for surface roughness compare to all other cutting parameters. From the observations, it is clear that percentage of added nanoparticles MWCNTs concentration directly influences cutting temperature (Ct) and surface roughness (Ra). The interactive plots reveal that MWCNT nano-fluid improves the results in terms of surface quality. Also the optimal results confirm that 2% of MWCNTs concentration reduces the cutting temperature and improves the surface finish.
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