Physical Analysis of Thermophoresis and Variable Density Effects on Heat Transfer Assessment along a Porous Stretching Sheet and Their Applications in Nanofluid Lubrication

Nanofluids are engineered colloidal suspensions of nanoparticles in the base fluids. At very low particle concentration, nanofluids have a much higher and strongly temperature-dependent thermal conductivity, which enables them to enhance performance machining applications such as cooling lubrication cutting zone during any process, vehicle’s braking system, enhanced oil recovery (EOR), engine oil, drilling process crude oil. In current work, density is assumed an exponential function temperature due larger differences. The main focus this mechanism variable effects on heat mass characteristics across stretching porous sheet with thermophoresis Brownian motion reduce excessive heating high-temperature systems. This first problem nanofluid surface. coupled partial differential equations (PDEs) present changed into nonlinear ordinary (ODEs) defined stream functions similarity variables for smooth algorithm integration. ODEs again converted similar form numerical outcomes by applying Keller Box approach. deduced graphs tabular help MATLAB (R2013a created MathWorks, Natick, MA, USA) program. phenomenon, velocity, temperature, concentration profile, along their slopes, been plotted various parameters pertaining issue. range has selected according Prandtl number 0.07≤Pr≤70.0 buoyancy parameter 0<λ<∞, respectively. novelty work its use nanoparticle fraction improvement friction between tool piece using nanofluid. Moreover, can also be adsorbed oil/water surface, alters interfacial tension, resulting formation emulsions.