Tribological Analysis on Mathematical Models and Experimental Values for Nano Lubricants

Suresh Babu Koppula and Dr.N.V.V.S. Sudheer

Nano fluids are the suspended nanoparticles in conventional fluids about 100nm, have been pioneering research subject worldwide recently. Experimental data observes that these conventional fluids are not feasible and hindrances in heat transfer capacity because fluids show very low thermal conductivity by as its nature. The enhanced thermal conductivity behavioural properties of these fluids with small-particle concentration were surprising and no proper existing theories explained. Recent technology in nano fluids proved, materials in nano form occupies an important place in changing properties of its elements in basic structure. Researchers found that heat transfer fully dependent on thermal conductivity of particles as well as particle size, diameter and volume concentration. Nano materials added to fluids and these Nano fluids used for increasing thermal properties in heat transfer. This paper observes the various properties of lubricants primarily concentrate on thermal capacity conductivity of Nano fluids for SiO2, Al2O3, and coal ash. An ancient biological material is introduced and which is used by our ancients as lubricant additive also used for experimental investigations and results tallied along with conventional fluids. The particle size considered is 60nm measured by Scanning electron microscope (SEM), images taken for the size and characteristics. The experiments carried out by using a heat exchanger pipe in pipe type under laminar flow condition by a forced convection mode. The fluids prepared with concentrations 0.2%, 0.4%, 0.8% and 1% on SAE 0W-20 engine oil. This article presents and suggests would be important because the literature in this area is popularized in various disciplines across world, which includes heat transfer, chemical engineering, material science, synthetic chemistry and physics. The experimental values obtained for thermal conductivity is compared with existing mathematical models.

Volume 11 | Issue 5

Pages: 145-152