2010
DOI: 10.1017/s0022112010004659
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Spreading of superfluid vorticity clouds in normal-fluid turbulence

Abstract: In this paper, we formulate a self-consistent model of thermal superfluid dynamics. By solving it, we analyse the problem of superfluid vorticity cloud propagation in normal-fluid turbulence. We show that superfluid cloud expansion is driven by pattern-forming superfluid vortex instabilities taking place in the interface layer between the cloud's bulk and the outer undisturbed normal-fluid turbulence. The radius of the cloud increases linearly with time. Mutual friction transfers energy from the normal-fluid t… Show more

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Cited by 31 publications
(40 citation statements)
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“…36 The non-standard element is the smoothing of the delta function singularities in the coupling terms, and this is achieved with the use of Heaviside functions. 1 For the vortices, I renormalize the self-interaction velocity divergence in the Biot-Savart law by employing the velocity of a ring with radius the local radius of curvature, and apply the method of Winckelmans and Leonard for evaluating velocity contributions because of all other points. 37 For the latter, an effective vortex core radius equal to ξ is employed.…”
Section: B Numerical Methods and Algorithmsmentioning
confidence: 99%
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“…36 The non-standard element is the smoothing of the delta function singularities in the coupling terms, and this is achieved with the use of Heaviside functions. 1 For the vortices, I renormalize the self-interaction velocity divergence in the Biot-Savart law by employing the velocity of a ring with radius the local radius of curvature, and apply the method of Winckelmans and Leonard for evaluating velocity contributions because of all other points. 37 For the latter, an effective vortex core radius equal to ξ is employed.…”
Section: B Numerical Methods and Algorithmsmentioning
confidence: 99%
“…38 and further modified in Ref. 1. Finally, in contrast to the Navier-Stokes part, the algorithms of the vortex dynamical part are difficult exercises in computational geometry.…”
Section: B Numerical Methods and Algorithmsmentioning
confidence: 99%
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