An induction-based magnetohydrodynamic 3D code for finite magnetic Reynolds number liquid-metal flows in fusion blankets
Autor: | Mohamed A. Abdou, Charlie Kawczynski, Sergey Smolentsev |
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Rok vydání: | 2016 |
Předmět: |
Physics
Solenoidal vector field Mechanical Engineering Numerical analysis Magnetic Reynolds number Reynolds number Reynolds stress equation model Mechanics 01 natural sciences 010305 fluids & plasmas Magnetic field Physics::Fluid Dynamics symbols.namesake Nuclear Energy and Engineering 0103 physical sciences symbols General Materials Science Magnetohydrodynamic drive Statistical physics Magnetohydrodynamics 010306 general physics Civil and Structural Engineering |
Zdroj: | Fusion Engineering and Design. :422-425 |
ISSN: | 0920-3796 |
Popis: | Most numerical analysis performed in the past for MHD flows in liquid-metal blankets were based on the assumption of low magnetic Reynolds number and involved numerical codes that utilized electric potential as the main electromagnetic variable. One limitation of this approach is that such codes cannot be applied to truly unsteady processes, for example, MHD flows of liquid-metal breeder/coolant during unsteady events in plasma, such as major plasma disruptions, edge-localized modes and vertical displacements, when changes in plasmas occur at millisecond timescales. Our newly developed code MOONS (Magnetohydrodynamic Object-Oriented Numerical Solver) uses the magnetic field as the main electromagnetic variable to relax the limitations of the low magnetic Reynolds number approximation for more realistic fusion reactor environments. The new code, written in Fortran, implements a 3D finite-difference method and is capable of simulating multi-material domains. The constrained transport method was implemented to evolve the magnetic field in time and assure that the magnetic field remains solenoidal within machine accuracy at every time step. Various verification tests have been performed including purely hydrodynamic flows and MHD flows at low and finite magnetic Reynolds numbers. Test results have demonstrated very good accuracy against known analytic solutions and other numerical data. |
Databáze: | OpenAIRE |
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