Articles
  • Machining parameter investigation of Ti-6Al-4V alloy on milling process with Al2O3 Nano hybrid cutting fluid

  • C. Manivela,*, P. Sivab, S.M. Vijayarajanc, and M. Ameena Banud

  • aAssistant Professor, Department of Mechanical Engineering, NPR College of Engineering & Technology, Natham, Dindigul, Tamilnadu, India - 624401
    bAssistant Professor, Department of Mechanical Engineering, JCT College of Engineering and Technology, Pichanur, Coimbatore, Tamilnadu, India - 641105
    cAssociate Professor, Department of Electronics & Communication Engineering, NPR College of Engineering & Technology, Natham, Dindigul, Tamilnadu, India - 624401
    dProfessor, Department of Electronics & Communication Engineering, NPR College of Engineering & Technology, Natham, Dindigul, Tamilnadu, India - 624401

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The Ti6Al4V alloy was difficult to cut material because of its inherent properties, however greater application in extreme operating 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 quantity lubrication (MQL) approach in the milling process on Ti6Al4V Alloy. Nano-based cutting fluid was prepared in unique weight percentage concentrations of 0%, 1%, and 2% of nanoparticles with base fluid. The experiments were conducted to analyse the effect of spindle speed, cutting feed and axial cutting depth on the concentration of nanoparticles using the face-centred composite design (CCD) on cutting tool temperature (Ct) and surface roughness (Ra). The results revealed that Alumina nanofluid minimizes the Cutting tool temperature and enhances the surface roughness (Ra). The responses were optimized using the desirability function based analysis (DFA) for nano based cutting fluids. The optimal process parameters of the Al2O3 nanofluid weight percentage concentration of nanoparticles were (2%), cutting feed (0.142 mm/rev), spindle speed (104 m/min) and DOC (0.5 mm).


Keywords: Nano particle, Hybrid cutting fluid, Alumina, ANOVA, RSM, DFA

This Article

  • 2024; 25(4): 529-542

    Published on Aug 31, 2024

  • 10.36410/jcpr.2024.25.4.529
  • Received on Feb 13, 2024
  • Revised on Mar 19, 2024
  • Accepted on Mar 19, 2024

Correspondence to

  • C. Manivel

  • Assistant Professor, Department of Mechanical Engineering, NPR College of Engineering & Technology, Natham, Dindigul, Tamilnadu, India - 624401
    Tel : +91-98420 59997

  • E-mail: manivelcc@gmail.com