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Mehaboob Basha

Bio: Mehaboob Basha is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Lattice Boltzmann methods & Laminar flow. The author has an hindex of 3, co-authored 4 publications receiving 28 citations.

Papers
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Journal ArticleDOI
TL;DR: This paper presents the performance comparison of various parallel lattice Boltzmann codes for simulation of incompressible laminar convection in 2D and 3D channels and shows that for a given problem, parallel simulations using matlabpool and pMatlab library perform almost equal.

15 citations

Journal ArticleDOI
TL;DR: A numerical study of incompressible laminar mixed convection in the entrance region of 2-D vertical and inclined channels using the regularized lattice Boltzmann method is presented in this paper.
Abstract: A numerical study of incompressible laminar mixed convection in the entrance region of 2-D vertical and inclined channels using the regularized lattice Boltzmann method is presented. Individual distribution functions with lattice types D2Q9 and D2Q5 are considered to solve fluid flow and thermal fields, respectively. Reynolds number is held constant at 100 and Grashof number is varied from 103 to 106. The channel inclination angle is varied from 0 to 60°. The aspect ratio of channel is equal to 5. Predicted velocity and temperature fields are in good agreement with velocity and temperature fields found from the finite volume code Fluent.

11 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a numerical modeling and simulation of incompressible laminar mixed convection in rotating channels using parallel lattice Boltzmann method, which is written in C language and was parallelized using OpenMP libraries.

9 citations

Journal ArticleDOI
01 Feb 2013
TL;DR: In this article, a numerical study of incompressible laminar natural convection in the entrance region of two dimensional vertical and inclined channels using regularized lattice Boltzmann Bhatnaghar-Gross-Krook method is presented.
Abstract: This paper presents a numerical study of incompressible laminar natural convection in entrance region of two dimensional vertical and inclined channels using regularized lattice Boltzmann Bhatnaghar-Gross-Krook method. Individual distribution functions with lattice types D2Q9 and D2Q5 are considered to solve fluid flow and thermal fields, respectively. Rayleigh number and inclination angle are varied from 10e2 to 10e6 and 0 to 60°, respectively. Distribution functions are introduced to mimic Bernoulli’s equation for calculating pressure at the inlet. Predicted Nusselt numbers are compared with Nusselt numbers correlation. Averaged Nusselt numbers compare well with Nusselt number correlation of Bar-Cohen & Rohsenow.

Cited by
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Journal ArticleDOI
TL;DR: In this article, a two-dimensional (2D) lattice Boltzmann method (LBM) was applied for numerical simulation of forced convection in a channel with extended surface using three different nanofluids.

118 citations

Journal ArticleDOI
TL;DR: In this article, the second-order lattice Boltzmann method (LBM) was used to study the forced convection heat transfer from surface mounted blocks attached to the bottom wall of a horizontal channel with nanofluid.

68 citations

Journal ArticleDOI
TL;DR: In this article, the effects of buoyancy forces on slip velocity and temperature profiles are presented while the microchannel side walls are under a constant heat flux boundary condition and the ability of lattice Boltzmann method to simulate the hydrodynamic and thermal domains is proved for the first time at present.

45 citations

Journal ArticleDOI
TL;DR: In this article, a brief review of the application of lattice Boltzmann method on the prediction of nanofluid is provided, and opportunities for future research are identified.
Abstract: In recent years, the lattice Boltzmann method (LBM) has become an alternative and attractive approach to simulate numerous fluid flow problems. A colloidal mixture of nano-sized particles in a base liquid called nanofluid, which is the new generation of heat transfer fluid for various heat transfer applications, has recently been demonstrated to have great potential for improving the heat transfer properties of liquids. This paper intends to provide a brief review of researches on application of lattice Boltzmann method on the prediction of nanofluid and identifies opportunities for future research.

44 citations

Journal ArticleDOI
TL;DR: To predict the thermo-physical properties, dynamic viscosity and thermal conductivity, of CuO–water nanofluid, the KKL model is applied to consider the effect of Brownian motion on nan ofluid properties and it is concluded that the configurations of active fins have pronounced effect on the fluid flow, heat transfer and entropy generation.
Abstract: Two-dimensional natural convection and entropy generation in a square cavity filled with CuO–water nanofluid is performed. The lattice Boltzmann method is employed to solve the problem numerically. The influences of different Rayleigh numbers 1 0 3 R a 1 0 6 and solid volume fractions 0 φ 0 . 05 on the fluid flow, heat transfer and total/local entropy generation are presented comprehensively. Also, the heatline visualization is employed to identify the heat energy flow. To predict the thermo-physical properties, dynamic viscosity and thermal conductivity, of CuO–water nanofluid, the KKL model is applied to consider the effect of Brownian motion on nanofluid properties. It is concluded that the configurations of active fins have pronounced effect on the fluid flow, heat transfer and entropy generation. Furthermore, the Nusselt number has direct relationship with Rayleigh number and solid volume fraction, and the entropy generation has direct and reverse relationships with Rayleigh number and solid volume fraction, respectively.

43 citations