Machining parameter investigation of Ti-6Al-4V alloy on milling process with Al2O3 Nano hybrid cutting fluid
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The Ti6Al4V alloy was difficult to cut material because of its inherent properties, however greater application in extremeoperating conditions; hence, the impact of machining parameters on nanoparticle diffused cutting fluids study was essential. The aim of this work was to examine the impact of alumina (Al2O3) nano-diffused cutting fluids under the minimal quantitylubrication (MQL) approach in the milling process on Ti6Al4V Alloy. Nano-based cutting fluid was prepared in unique weightpercentage concentrations of 0%, 1%, and 2% of nanoparticles with base fluid. The experiments were conducted to analysethe effect of spindle speed, cutting feed and axial cutting depth on the concentration of nanoparticles using the face-centredcomposite design (CCD) on cutting tool temperature (Ct) and surface roughness (Ra). The results revealed that Aluminananofluid minimizes the Cutting tool temperature and enhances the surface roughness (Ra). The responses were optimizedusing the desirability function based analysis (DFA) for nano based cutting fluids. The optimal process parameters of theAl2O3 nanofluid weight percentage concentration of nanoparticles were (2%), cutting feed (0.142 mm/rev), spindle speed(104 m/min) and DOC (0.5 mm).
Abstract
The Ti6Al4V alloy was difficult to cut material because of its inherent properties, however greater application in extremeoperating conditions; hence, the impact of machining parameters on nanoparticle diffused cutting fluids study was essential. The aim of this work was to examine the impact of alumina (Al2O3) nano-diffused cutting fluids under the minimal quantitylubrication (MQL) approach in the milling process on Ti6Al4V Alloy. Nano-based cutting fluid was prepared in unique weightpercentage concentrations of 0%, 1%, and 2% of nanoparticles with base fluid. The experiments were conducted to analysethe effect of spindle speed, cutting feed and axial cutting depth on the concentration of nanoparticles using the face-centredcomposite design (CCD) on cutting tool temperature (Ct) and surface roughness (Ra). The results revealed that Aluminananofluid minimizes the Cutting tool temperature and enhances the surface roughness (Ra). The responses were optimizedusing the desirability function based analysis (DFA) for nano based cutting fluids. The optimal process parameters of theAl2O3 nanofluid weight percentage concentration of nanoparticles were (2%), cutting feed (0.142 mm/rev), spindle speed(104 m/min) and DOC (0.5 mm).
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