Towards a mesoscopic model of water-like fluids with hydrodynamic interactions J. Chem. Phys. 135, 124902 (2011) A semiclassical study of the thermal conductivity of low temperature liquids J. Chem. Phys. 135, 114105 (2011) Rheological properties of alumina nanofluids and their implication to the heat transfer enhancement mechanism J. Appl. Phys. 110, 034316 (2011) Reverse nonequilibrium molecular dynamics simulation of thermal conductivity in nanoconfined polyamide-6,6 J. Chem. Phys. 135, 064703 (2011) Heat transport in polymer-dispersed liquid crystals under electric field This paper envisages a mechanism of heat conduction behind the thermal conductivity enhancement observed in graphene nanofluids. Graphene nanofluids have been prepared, characterized, and their thermal conductivity was measured using the transient hot wire method. The enhancements in thermal conductivity are substantial even at lower concentrations and are not predicted by the classical Maxwell model. The enhancement also shows strong temperature dependence which is unlike its carbon predecessors, carbon nanotube (CNT) and graphene oxide nanofluids. It is also seen that the magnitude of enhancement is in-between CNT and metallic/metal oxide nanofluids. This could be an indication that the mechanism of heat conduction is a combination of percolation in CNT and Brownian motion and micro convection effects in metallic/metal oxide nanofluids, leading to a strong proposition of a hybrid model.
Viscoelastic particulate suspensions play a key role in many energy applications. Our goal is to develop a simulation-based tool for engineering such suspensions. This study is concerned with fully resolved simulations, wherein all flow scales associated with the particle motion are resolved. The present e↵ort is based on Immersed Boundary (IB) methods, in which the domain grids do not conform to the particle geometry. The particles are defined on a separate Lagrangian mesh that is free to move over an underlying Eulerian grid. An immersed boundary forcing technique for moving bodies within an unstructured-mesh, non-Newtonian viscoelastic flow solver is thus developed and described. This method is implemented in a massively parallel, finite-volume-based incompressible fluid solver. A number of flows, simulated using this method are presented to assess the accuracy and correctness of the algorithm.Suspensions of rigid particles dispersed in a fluid are common in many engineering ap-2 plications. A few examples include fluidized bed, sediment transport, blood flow, coal-based 3 combustion chambers, biomass gasifiers, oil sands mining, foods, pharmaceuticals and per-4 sonal care products. In many of these cases, the fluid in which particles are dispersed are 5 often viscoelastic in nature.
6The numerical study of such particulate flows provides a very important source of insight 7 into the physical processes that govern the interaction between particles and fluids. Often 8 we need to resolve flow at the scale of the particle in order to gain a comprehensive under-9 standing of the underlying physics. This paper is concerned with fully resolved simulations 10 (FRS) of rigid particles suspended in complex fluids using a Finite-Volume approach. In 11 FRS, all scales associated with the fluid flow and the hydrodynamic forces on the particle 12 are directly evaluated, unlike in point-particle approaches where drag and lift correlations 13 are used to estimate forces on the particles. 14 Conventionally, one solves fluid flow problems with rigid particles computationally, by 15 generating a grid that conforms to the body of the particle (termed a 'body-fitted' grid). One 16 then discretizes the governing equations on this body-fitted grid and applies no-slip bound-17 ary conditions at the particle surface. There are several numerical techniques which use 18 such body-conforming grid formulations to solve flows with moving boundaries including 19 Arbitrary Lagrangian-Eulerian (ALE) [1], Deforming-Spatial-Domain / Stabilized-Space-20 Time (DSD/SST) [2]. ALE uses a moving mesh scheme to handle the time dependent fluid 21 domain, which typically involves solving the mesh motion through a partial di↵erential equa-22 tion using the known boundary displacements [3, 4] or interpolation schemes (like Radial 23 basis functions (RBF) [5], Inverse Distance Weighting (IDW) [6]). ALE based finite ele-24ment method has been used to simulate rigid particles in viscoelastic fluids to study particle 25 migration [7] and alignment [8, 9]. DS...
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