Author
Meng Xu
Bio: Meng Xu is an academic researcher from Nanchang University. The author has contributed to research in topics: Lattice Boltzmann methods & Heat transfer. The author has an hindex of 3, co-authored 8 publications receiving 16 citations.
Papers
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TL;DR: In this paper, the authors investigated the effect of wall driven and Richardson number on the heat transfer in a wall driven porous cavity with an isothermally heated square blockage inside.
16 citations
TL;DR: In this article, a parallel micro-channel loop heat pipe (PMLHP) and a self-similar fractal microchannel loop pipe (SFMLHP), were designed, fabricated and experimentally analyzed from the aspects of filling ratio and inclined angle.
7 citations
TL;DR: In this paper, the effect of heat flux distribution on the internal heat transfer process of VSR with different porous structure types was mainly determined by the inlet distribution of solid particles.
7 citations
TL;DR: In this paper, a pileup process of vertical column by successive droplets was simulated under an axisymmetric system, where the evolution of interface was captured by Front Tracking Method (FTM).
5 citations
TL;DR: In this article, the nanofluid forced convection heat exchange in a porous channel within three heated blocks was numerically investigated using the Nonorthogonal multiple-relaxation time lattice Boltzmann method.
Abstract: The nanofluid forced convection heat exchange in a porous channel within three heated blocks was numerically investigated using the Nonorthogonal multiple-relaxation time lattice Boltzmann method (...
5 citations
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01 Dec 2003
TL;DR: A two-stage implementation consisting of a sparse domain decomposition stage and a simulation stage that avoids the need to store and operate on lattice points located within a solid phase is investigated, showing near linear scaling and substantially less storage and computational time than the traditional approach.
Abstract: We examine the problem of simulating single and multiphase flow in porous medium systems at the pore scale using the lattice Boltzmann (LB) method. The LB method is a powerful approach, but one which is also computationally demanding; the resolution needed to resolve fundamental phenomena at the pore scale leads to very large lattice sizes, and hence substantial computational and memory requirements that necessitate the use of massively parallel computing approaches. Common LB implementations for simulating flow in porous media store the full lattice, making parallelization straightforward but wasteful. We investigate a two-stage implementation consisting of a sparse domain decomposition stage and a simulation stage that avoids the need to store and operate on lattice points located within a solid phase. A set of five domain decomposition approaches are investigated for single and multiphase flow through both homogeneous and heterogeneous porous medium systems on different parallel computing platforms. An orthogonal recursive bisection method yields the best performance of the methods investigated, showing near linear scaling and substantially less storage and computational time than the traditional approach.
103 citations
TL;DR: In this article, the laminar convection of nanofluids in five types of solar energy collectors was numerically studied with a two-phase lattice Boltzmann model.
Abstract: In order to improve the photothermal conversion efficiency of solar energy collectors, the laminar convection of nanofluids in five types of solar energy collectors was numerically studied with a two-phase lattice Boltzmann model. In the current simulation, Cu–water nanofluids (volume fraction φ = 0.3%) were chosen. The equilibrium distribution function with D2Q9 model and the boundary conditions of nonequilibrium extrapolation scheme were applied to establish the lattice Boltzmann model. The effects of different Rayleigh numbers (Ra = 104–106), structures (rectangle cavity, trapezoid cavity and parallelogram cavity) and aspect ratios (A = 2:1, 4:3 and 1:1) of solar energy collectors on the heat transfer were considered. The temperature distribution, streamline and entropy generation of nanofluids in the solar energy collectors were analyzed. Results demonstrated that the increase in Rayleigh number heightens the heat convection of nanofluids. The trapezoid cavity and parallelogram have a special structure, which will form a flow dead zone, weaken the heat transfer effect and determine the position of maximum entropy generation.
18 citations
14 citations
TL;DR: In this article, a thermal environment simulation method was developed for a structure with a thermally complex building envelope using a heat transfer simulation (HTS), computational fluid dynamics (CFD), and a two-dimensional heat-flow calculation tool called Hygrabe2D. The proposed method was used to evaluate the thermal environment of a building by calculating the annual room temperature and temperature inside the building skin.
11 citations
TL;DR: In this article, a comprehensive validated numerical simulation is carried out to reveal the significance of porous layers in the improvement of natural convection of L-shape enclosure and secondly nondimensionally optimize the location of blocks and porous layer (along the walls of the cavity) to achieve the maximum heat transfer rate.
10 citations