Experimental Investigation On Sustainable Machining Process With Nano Cutting Fluids

Abstract

Sustainable machining has become a critical focus in the machining industry to produce high-quality newlineproducts through energy-efficient processes, while minimizing environmental impact. The use of newlinemineral oil-based cutting fluids with flood lubrication presents significant challenges due to their high newlinetoxicity and low biodegradability. To overcome these issues, Minimum Quantity Lubrication (MQL) has newlineemerged as an energy-efficient alternative that uses minimal cutting fluid. However, the environmental newlinehazards posed by the byproducts of MQL highlight the need for biodegradable alternatives. This study newlineintroduces a novel Nano Cutting Fluid (NCF) developed using corn oil, eco-friendly emulsifiers, foodgrade additives, and nanoparticles such as Graphene, Alumina (Al2O3), and Multi-Walled Carbon newlineNanotubes (MWCNT). Among the formulations, the NCF containing 10% emulsifiers and additives newlinewith 1.2% graphene nanoparticles exhibited superior thermal, rheological, and tribological properties. newlineThe Design of Experiments (DOE) approach with an L27 orthogonal array using the Taguchi method newlinewas employed for conducting extensive experiments. The experimentation consisted of turning of newlineSS304 with the inputs drawn from DOE approach. Further, the machining operations were performed newlineunder MQL, dry and flood lubrication conditions using the developed NCF. Analysis of Variance newline(ANOVA) approach was then employed to analyse the influence of parameters under all the machining newlineconditions. Furthermore, Multi-objective optimization techniques such as TOPSIS and Grey Relational newlineAnalysis (GRA) were then applied to identify the optimal machining and MQL parameters. The newlineoptimized machining parameters obtained through these techniques were further confirmed through newlineexperimental trails. The studies demonstrated the robustness and efficacy of the developed NCF under newlineMQL, dry and flood lubrication conditions compared with normal mineral oils in reducing the newlineenvironmental degradation. newlineThe optimal machining parameters were identified under MQL