Numerical Assessment of Nanofluid Natural Convection Using Local RBF Method Coupled with an Artificial Compressibility Model

نویسندگان

چکیده

In this paper, natural heat convection inside square and equilateral triangular cavities was studied using a meshless method based on collocation local radial basis function (RBF). The nanofluids used were Cu-water or -water mixture with nanoparticle volume fractions range of . A system continuity, momentum, energy partial differential equations in modeling the flow temperature behavior fluids. Partial derivatives governing approximated RBF method. artificial compressibility model implemented to overcome pressure velocity coupling problem that occurs such equations. main goal work present simple efficient deal complex geometries for variety conditions. To assess accuracy proposed method, several test cases selected. For Rayleigh numbers ranging from , validation cavity used. numerical investigation then extended number as well nanofluid fraction second investigation, same varying approach non-rectangular geometries. results appear be agreement those earlier investigations. Furthermore, suggested found stable accurate, demonstrating it may viable alternative solving transfer enclosures irregular

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Numerical Solution of an Unsteady Flow Using Artificial Compressibility Method

The work presents an artificial compressibility method applied to incompressible Navier-Stokes equations for steady as well as for unsteady flows. Two modifications of unsteady numerical solution by an implicit finite volume method are considered. First one uses large artificial compressibility parameter and the iterative solution approximates unsteady evolution of flow. The second approach int...

متن کامل

Numerical Study of Natural Convection in an Inclined Cavity with Partially Active Side Walls Filled with Cu-water Nanofluid

The buoyancy-driven fluid flow and heat transfer in a square cavity with partially active side walls filled with Cu-water nanofluid is investigated numerically. The active parts of the left and the right side-walls of the cavity are maintained at temperatures Th and Tc, respectively, with Th>Tc. The enclosure’s top and bottom walls, as well as, the inactive parts of its side walls are kept insu...

متن کامل

Numerical simulation of natural convection in a square enclosure filled with nanofluid using the two-phase Lattice Boltzmann method

Considering interaction forces (gravity and buoyancy force, drag force, interaction potential force, and Brownian force) between nanoparticles and a base fluid, a two-phase Lattice Boltzmann model for natural convection of nanofluid is developed in this work. It is applied to investigate the natural convection in a square enclosure (the left wall is kept at a high constant temperature (TH), and...

متن کامل

Numerical study of natural convection in a horizontal cylinder filled with water-based alumina nanofluid

Natural heat convection of water-based alumina (Al2O3/water) nanofluids (with volume fraction 1% and 4%) in a horizontal cylinder is numerically investigated. The whole three-dimensional computational fluid dynamics (CFD) procedure is performed in a completely open-source way. Blender, enGrid, OpenFOAM and ParaView are employed for geometry creation, mesh generation, case simulation and post pr...

متن کامل

Numerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid

In this article, a coupled computational framework is presented for the numerical simulation of mass transfer under the effects of natural convection phenomena in a field contains water-copper Nano-fluid. This CFD model is build up based on accurate algorithms for spatial derivatives and time integration. The spatial derivatives have been calculated using first order upwind and second order cen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Cmes-computer Modeling in Engineering & Sciences

سال: 2023

ISSN: ['1526-1492', '1526-1506']

DOI: https://doi.org/10.32604/cmes.2022.022649