scholarly journals Lattice Boltzmann simulation of MHD mixed convection in a lid-driven square cavity with linearly heated wall

2012 ◽  
Vol 19 (4) ◽  
pp. 1053-1065 ◽  
Author(s):  
GH.R. Kefayati ◽  
M. Gorji-Bandpy ◽  
H. Sajjadi ◽  
D.D. Ganji
Keyword(s):  
Mixed Convection ◽  
Lattice Boltzmann ◽  
Heated Wall ◽  
Square Cavity ◽  
Lattice Boltzmann Simulation

Lattice Boltzmann simulation of MHD mixed convection in a two-sided lid-driven square cavity

2011 ◽  
Vol 41 (2) ◽  
pp. 179-195 ◽  
Author(s):  
H. Sajjadi ◽  
M. Gorji-Bandpy ◽  
D.D. Ganji ◽  
GH.R. Kefayati
Keyword(s):  
Mixed Convection ◽  
Lattice Boltzmann ◽  
Square Cavity ◽  
Lattice Boltzmann Simulation

Total Energy Thermal Lattice Boltzmann Simulation of Mixed Convection in a Square Cavity

2021 ◽  
Vol 7 (5) ◽  
Author(s):  
Vinícius Pessoa Mapelli ◽  
Luiz Eduardo Czelusniak ◽  
Matheus dos Santos Guzella ◽  
Luben Cabezas Gómez
Keyword(s):  
Mixed Convection ◽  
Total Energy ◽  
Lattice Boltzmann ◽  
Square Cavity ◽  
Lattice Boltzmann Simulation ◽  
Thermal Lattice Boltzmann

GPU-Based Simulations to Analyze the Effect of Heat Source in Mixed Convection

2012 ◽  
Author(s):  
Nabeel A. Qazi ◽  
Imran Akhtar ◽  
M. Saif Ullah Khalid
Keyword(s):  
Heat Source ◽  
Mixed Convection ◽  
Computer Technology ◽  
Heated Wall ◽  
Efficient Computation ◽  
Governing Equations ◽  
Square Cavity ◽  
Parallel Performance ◽  
Cuda Programming ◽  
Speed Up

Thermo-fluids applications are studied, both experimentally and numerically, due to its applications in various engineering and scientific problems. With the growing computer technology, numerical simulations are often employed to analyze thermofluid phenomenon. In this paper, we study the effect of heat source and sink in mixed convection in a lid-driven square cavity. Many applications require efficient computation of flow and temperature field data for cooling and other control purposes. We develop an explicit numerical methodology, both on CPU and GPU platforms, to solve the governing equations. The numerical scheme is implemented sequentially on a CPU and in parallel on a GPU using CUDA programming language. We vary the size and locations of the heated wall, along with the inclination of cavity, to study its effect on convection. In terms of parallel performance, GPU provides speed-up ranging from 3 to 13 depending on the problem configuration.

Sign in / Sign up

Export Citation Format

Share Document