Computational Fluid Mechanics (CFM)
Sajjad Rasoolzadeh; Mir Yoseph Hashemi
Abstract
The purpose of this paper is to numerically simulate unsteady, incompressible and laminar flow with natural and mixed convection heat transfer in a square lid-driven cavity filled with Cu-Water nanofluid. Jameson method is used in conjunction with Artificial compressibility method on unstructured grid ...
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The purpose of this paper is to numerically simulate unsteady, incompressible and laminar flow with natural and mixed convection heat transfer in a square lid-driven cavity filled with Cu-Water nanofluid. Jameson method is used in conjunction with Artificial compressibility method on unstructured grid in a viscous flow. Effects of Grashof number and nanoparticle volume fraction on the flow and heat transfer characteristics are investigated. Two dimensional Navier-Stokes equations as the governing equations of the problem are discretized with finite volume method. Spatial discretization is performed with two order central scheme and Jameson artificial dissipation terms are added to equations to stabilize the solution. Unsteady terms are discretized with implicit two order scheme and are solved with fourth order explicit Runge-Kutta method in pseudo-time. It is found that Jameson method has good performance with reasonable convergence rate. Results show that increase in volume fraction of nanoparticles improves heat transfer characteristics while increase in Grashof number, weakens the heat transfer due to domination of natural convection.
Heat and Mass Transfer
Majid Kerdarian; Ehsan Kianpour
Abstract
In this study, the finite volume method and the SIMPLER algorithm is employed to investigate forced convection and entropy generation of Cu-water nanofluid in a parallel plate microchannel. There are four obstacles through the microchannel, and the slip velocity and temperature jump boundary conditions ...
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In this study, the finite volume method and the SIMPLER algorithm is employed to investigate forced convection and entropy generation of Cu-water nanofluid in a parallel plate microchannel. There are four obstacles through the microchannel, and the slip velocity and temperature jump boundary conditions are considered in the governing equations to increase the accuracy of modeling. The study is conducted for the Reynolds numbers in the range of 0.1<Re<10, Knudsen numbers ranging of 0<Kn<0.1, and volume fraction of nanoparticles ranging of 0<φ
