Numerical model of dual-coolant lead–lithium (DCLL) blanket

Khodak, Andrei; Titus, P.; Brown, Thomas G.; Klabacha, Jonathan

doi:10.1016/j.fusengdes.2018.08.010

Cited by 12 publications

(4 citation statements)

References 6 publications

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“…The dependence appeared to be consistent with ∆t ∝ Ha −2 , which could be related to the magnetic damping time τ = ρ σ|B| 2 which is understood to be relevant in the low R m limit [10]. An argument is made in [31] that the timestep should be adjusted due to the addition of the Lorentz force as a source term in the momentum equation. The result is the modification of the timestep required for stability from that calculated from the CFL condition to…”

Section: Validation Discussionmentioning

confidence: 69%

On scalable liquid-metal MHD solvers for fusion breeder blanket multiphysics applications

Eardley-Brunt,

Dubas,

Davis

2023

Plasma Phys. Control. Fusion

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While substantial research effort has been made recently in the development of computational liquid-metal magnetohydrodynamics (MHD) solvers, this has typically been confined to closed-source and commercial codes. This work aimed to investigate some open-source alternatives. Two OpenFOAM-based MHD solvers, mhdFoam and epotFoam, were found to show strong scaling profiles typical of fluid dynamics codes, while weak scaling was impeded by an increase in iterations per timestep with increasing resolution. Both were found to accurately solve the Shercliff and Hunt flow problems for Hartmann numbers from 20 to 1000, except for mhdFoam which failed in the Hunt flow H a = 1000 case. A basic inductionless MHD solver was implemented in the Proteus MOOSE application as a proof of concept, using two methods referred to as the kernel method and material method. Future work will aim to build on these studies, exploring more advanced OpenFOAM MHD solvers as well as improving the Proteus MHD solver.

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Section: Validation Discussionmentioning

confidence: 69%

On scalable liquid-metal MHD solvers for fusion breeder blanket multiphysics applications

Eardley-Brunt,

Dubas,

Davis

2023

Plasma Phys. Control. Fusion

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“…k p , similarly, is ξ p = k p • N. Tables 3 and 5 summarize the results of the head loss approach. They display the mechanical power loss (J s −1 ) in the whole domain (as computed in equation ( 9)), the total head loss (equation ( 7)) and the singularity head loss, h L singularity (equation (10)). The kinetic energy correction factors, α, for the inlet and outlet fully developed regions are also shown, along with the singular head loss coefficient, ξ H = h L sing.…”

Section: Resultsmentioning

confidence: 99%

“…Vo . With this calculation, h L domain is obtained and can be equaled to: (10) where h L inlet and h L outlet are head losses associated with the friction of an equivalent upstream and downstream fully developed flows. The term h L singularity contains, therefore, not only the energy loss associated to the geometry singularity region alone, but also the energy loss associated to the reestablishment of a fully developed flow profile downstream and the influences upstream.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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On the use of CFD to obtain head loss coefficients in hydraulic systems and its application to liquid metal MHD flows in nuclear fusion reactor blankets

Suarez

Valls

Batet

2021

Plasma Phys. Control. Fusion

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When an incompressible fluid flows through a contraction in a conduit, the increase in the kinetic energy of the fluid is accompanied by a pressure drop. This pressure drop is not to be assimilated with head loss. If downstream the fluid encounters an expansion in the conduit, the energy conversion will take place in the opposite way. Therefore, when a geometrical singularity is analysed to assess its contribution to the pumping power requirements of the system, the whole mechanical energy transfer of the fluid in the singularity has to be taken into account, and not only the pressure variation. The first part of the present work establishes a method to obtain head loss coefficients in geometric singularities of hydrodynamic circuits using the results of computational fluid dynamics (CFD) calculations. These coefficients are of interest when modelling the whole system with a 1D system code, for instance. In the second part of the article, the method is applied to a more complex case, involving magnetohydrodynamic (MHD) phenomena. Thus, a prototypical channel singularity in a liquid metal circuit subject to a magnetic field is analysed. The layout is representative of a case that could be found in the liquid metal blankets to be used in nuclear fusion reactors. The influence of the MHD phenomena is studied and the differences with a purely hydrodynamic case are pointed out. The MHD analyses have been done in the Marconi High Performance Computing facility, using 48 cores, each case needing between one and two weeks to complete.

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Free-Surface Liquid Lithium Flow Modeling and Stability Analysis for Fusion Applications

Khodak

Yang²,

Stone³

2020

J Fusion Energ

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Numerical model of dual-coolant lead–lithium (DCLL) blanket

Cited by 12 publications

References 6 publications

On scalable liquid-metal MHD solvers for fusion breeder blanket multiphysics applications

On scalable liquid-metal MHD solvers for fusion breeder blanket multiphysics applications

On the use of CFD to obtain head loss coefficients in hydraulic systems and its application to liquid metal MHD flows in nuclear fusion reactor blankets

Free-Surface Liquid Lithium Flow Modeling and Stability Analysis for Fusion Applications

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