Selection of appropriate process inputs for turning Ti-6Al-4V alloy under hybrid Al2O3-MWCNT nano-fluid based MQL

• Published in: Advances in materials and processing technologies (Abingdon, England) Vol. 8; no. 1; pp. 380 - 400
• Main Authors: Zaman, Prianka B., Tusar, Md Imran Hasan, Dhar, Nikhil Ranjan
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 02-01-2022
• Subjects: desirability function; hybrid nano-fluid; minimum quantity lubrication; response surface method; Ti-6Al-4V alloy
• ISSN: 2374-068X; 2374-0698
• DOI: 10.1080/2374068X.2020.1812324

In this present study, the effects of cutting speed (V), feed rate (f), depth of cut (d), nanoparticle concentration (C) and tool-type (TT) on cutting temperature (T) and surface roughness (Ra) have been investigated in turning Ti-6Al-4V alloy under hybrid Al
2
O
3
-MWCNT nanofluid based minimum quantity lubrication (MQL). The Box-Behnken design of experiment has been used for experimentation. Thereafter, empirical models have been formulated by Response Surface Methodology (RSM) for both of the responses based on experimental data. All the models found significant (p < 0.05) and highly acceptable (R
2
 > 90%), while the lack-of-fit for the models found insignificant (p > 0.05). The reliability of the data and the model has also been confirmed by residual plots. Validity test indicated good agreement of the model responses with actual responses, and also confirmed the capability of the model to determine the optimum parameters. Last but not least, the desirability function (DF) approach has been used to find out the suitable combination of process inputs for minimising the cutting temperature and surface roughness individually and concurrently. The optimised process inputs determined in this study will help to improve the machinability of Ti-6Al-4V alloy in future.