Experimental study on the effect of combination ratio of Al<sub>2</sub>O<sub>3</sub>-MWCNT hybrid nano-cutting fluids while turning AISI 304
Abstract This experimental study has been executed with an objective of comparing the efficacy of mono and hybrid nano-cutting fluid (NCF) with respect to cutting insert’s flank wear while turning AISI-304 stainless steel. Furthermore, the influence of the combination ratio of constituent nanoparticles has also been investigated. The creation of the hybrid nano-cutting fluids (hy-NCF) involved the simultaneous suspension of alumina (Al 2 O 3 ) nano-particles and multi-walled carbon nano tube (MWCNT) in a vegetable oil derived from soybean at weight concentrations of 1, 1.5, and 2 wt% in combination ratios of 80:20 (R = 0.2) and 60:40 (R = 0.4). Their thermal conductivity and viscosity depicting thermophysical behaviour and wettability depicting tribological behaviour have also been evaluated and compared to that of mono nano cutting (mo-NCF) fluid comprising solely of alumina particles. To balance the advantages of thermal conductivity, viscosity and wettability, the weight concentration of 1.5% has been selected for further machining experiments. Minimum quantity lubrication (MQL) based turning tests were conducted, and the findings were compared considering tool flank wear. For hybrid nano-cutting fluid (R = 0.2) and hybrid nano-cutting fluid (R = 0.4), the percentage reduction in tool wear was found to be 11.35% and 8.2%, respectively, in comparison to mono nanofluid.
Authors
- Amit Gupta (ORCID: https://orcid.org/0000-0002-4707-2349)
- Amandeep Singh Wadhwa (ORCID: https://orcid.org/0000-0002-7480-9254)
- Rajesh Kumar (ORCID: https://orcid.org/0000-0002-7284-2309)
- Jaswinder Singh Mehta (ORCID: https://orcid.org/0009-0002-9879-9721)
Institutions
- Panjab University (IN)
Publication Details
- Journal
- Engineering Research Express
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1088/2631-8695/ad9b01
- Citations
- 2
- Primary Topic
- Advanced machining processes and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.43