Published May 2008 | Version v1
Journal article

Progress in lattice Boltzmann methods for magnetohydrodynamic flows relevant to fusion applications

  • 1. MetaHeuristics LLC, 3944 State St., Ste. 350, Santa Barbara, CA 93105 (United States)
  • 2. UCSB, Chemical Engineering Department, Santa Barbara, CA 93106 (United States)
  • 3. UCLA, MAE Department, 44-114 Engineering IV, 420 Westwood Pza, Los Angeles, CA 90095-1597 (United States)

Description

In this paper, an approach to simulating magnetohydrodynamic (MHD) flows based on the lattice Boltzmann method (LBM) is presented. The dynamics of the flow are simulated using a so-called multiple relaxation time (MRT) lattice Boltzmann equation (LBE), in which a source term is included for the Lorentz force. The evolution of the magnetic induction is represented by introducing a vector distribution function and then solving an appropriate lattice kinetic equation for this function. The solution of both distribution functions are obtained through a simple, explicit, and computationally efficient stream-and-collide procedure. The use of the MRT collision term enhances the numerical stability over that of a single relaxation time approach. To apply the methodology to solving practical problems, a new extrapolation-based method for imposing magnetic boundary conditions is introduced and a technique for simulating steady-state flows with low magnetic Prandtl number is developed. In order to resolve thin layers near the walls arising in the presence of high magnetic fields, a non-uniform gridding strategy is introduced through an interpolated-streaming step applied to both distribution functions. These advances are particularly important for applications in fusion engineering where liquid metal flows with low magnetic Prandtl numbers and high Hartmann numbers are introduced. A number of MHD benchmark problems, under various physical and geometrical conditions are presented, including 3-D MHD lid driven cavity flow, high Hartmann number flows and turbulent MHD flows, with good agreement with prior data. Due to the local nature of the method, the LBM also demonstrated excellent performance on parallel machines, with almost linear scaling up to 128 processors for a MHD flow problem

Availability note (English)

Available from http://dx.doi.org/10.1016/j.fusengdes.2007.10.005

Additional details

Identifiers

DOI
10.1016/j.fusengdes.2007.10.005;
PII
S0920-3796(07)00502-9;

Publishing Information

Journal Title
Fusion Engineering and Design
Journal Volume
83
Journal Issue
4
Journal Page Range
p. 557-572
ISSN
0920-3796
CODEN
FEDEEE

Optional Information

Copyright
Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.