Topic
Hartmann number
About: Hartmann number is a research topic. Over the lifetime, 2593 publications have been published within this topic receiving 61342 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, the effective thermal conductivity and viscosity of nanofluid are calculated by KKL (Koo-Kleinstreuer-Li) correlation.
Abstract: In this paper magnetohydrodynamic free convection flow of CuO–water nanofluid in a square enclosure with a rectangular heated body is investigated numerically using Lattice Boltzmann Method (LBM) scheme. The effective thermal conductivity and viscosity of nanofluid are calculated by KKL (Koo–Kleinstreuer–Li) correlation. The influence of pertinent parameters such as Hartmann number, nanoparticle volume fraction and Rayleigh number on the flow, heat transfer and entropy generation have been examined. The results show that the heat transfer rate and Dimensionless entropy generation number increase with increase of the Rayleigh number and nanoparticle volume fraction but it decreases with increase of the Hartmann number.
279 citations
••
TL;DR: In this paper, the Brownian motion influence on nanofluid properties is considered by means of Koo-Kleinstreuer-Li (KKL) model.
278 citations
••
TL;DR: In this paper, a two-dimensional asymmetric channel with peristaltic wave train on the walls to have different amplitudes and phase was investigated. And the effect of Hartmann number, Eckert number, width of the channel and phase angle on temperature and coefficient of heat transfer were discussed numerically and explained graphically.
275 citations
••
TL;DR: In this article, the authors analyzed the MHD flow of a conducting couple stress fluid in a slit channel with rhythmically contracting walls and derived analytical expressions for the stream function, the magnetic force function, axial pressure gradient, the axial induced magnetic field and the distribution of the current density across the channel using long wavelength approximation.
267 citations
••
TL;DR: In this paper, the Lattice Boltzmannian method was used to simulate the magnetic field in a porous channel of a nanofluid and the role of Reynolds number, Darcy number, and Hartmann number was demonstrated.
256 citations