Evaluation of graphene based nano fluids with minimum quantity lubrication in turning of AISI D3 steel

Abstract

Minimum quantity lubrication is an extensively accepted lubrication system owing to its improved heat removal in the machining areas. The purpose of the current study is to examine the effectiveness of graphene based nanofluids in turning on D3 tool steel with minimum quantity lubrication. Experiments were executed with Taguchi's L27 orthogonal matrix array. The effectiveness were examined with the machining parameters under environment (dry condition, flood lubrication and minimum quantity lubrication), cutting speed, feed rate and depth of cut in terms of surface roughness, cutting temperature, tool wear and chip morphology. A technique known as Preference Ranking Organization Method for Enrichment Evaluations were used to determine the imperative parameters governing the responses. The results reveal that graphene nanofluids with minimum quantity lubrication found to be a right substitute in reducing the surface roughness, tool wear and cutting temperature.

Contribution of Factors such as Machining Parameters, MQL Nozzle Orientation (Angle & Distance) and MQL Nano-Fluid Type on Surface Finish of Turned Steel Work-Pieces Using DOE Approach

“…Alumina and hybrid alumina-graphene nanofluid volume concentrations (0.25%, 0.75% and 1.25%) Tool flank wear and nodal temperature reduction of 12.29% and 5.79% is observed in hybrid nano-fluid as compared to Alumina nano-fluid Babu et al (2019) [17] 2 g of graphene nanoparticle +SDBS mixed with ethylene glycol of 250 mL as base fluid under ultrasonication at 35 W, 50 Hz for 1 hour at room temperature ANOVA table for Surface roughness shows percentage contribution of Cooling Environment of 97.34% against machining conditions (cutting speed, feed and depth of cut) Sivaraman & Prakash (2019) [7] n-MoS2 of 0.5 % wt. (60 -80 nm.)…”

Evaluation and Performance Improvement of Environmentally Friendly Sustainable Turning of 6063 Aluminum Alloy in Dry Conditions Using Grey Relational Analysis

“…In the current study, each combination of input parameters was analyzed thrice, and the average value of the associated response data was recorded. For each trial, a new insert was used to eliminate the effect of tool wear [27], [28]. Table 2 demonstrates the experimental design and responses using the L27 orthogonal array.…”

The role of bio-based cutting fluids for sustainable manufacturing and machining processes: A holistic review

“…Nano-additives, such as nanoparticles of metals, metal oxides, or carbon-based materials, can impart enhanced tribological properties, better heat transfer capabilities, improved tool life, superior surface finish, and improved stability to cutting fluids [38]. The effect of graphene nanoplatelets on the performance of cutting fluids found that the addition of graphene resulted in reduced cutting forces, lower tool wear, and improved surface finish [39]. In another study, Kumar et al [40] investigated the influence of zinc oxide nanoparticles on the lubrication and cooling properties of cutting fluids and reported that the addition of nanoparticles enhanced the heat dissipation capacity and reduced the coefficient of friction.…”