2016
DOI: 10.1103/physrevlett.116.135002
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Self-Regulated Plasma Heat Flux Mitigation Due to Liquid Sn Vapor Shielding

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Cited by 64 publications
(62 citation statements)
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“…It is expected that vapor shielding phenomena will play an important role in power handling at high input powers. Earlier studies of this phenomenon have been performed for solid targets [14,15], and for liquid tin [6]. It was found that when increasing the applied power density to the target a point is encountered beyond which the surface temperature is very insensitive to the applied power: a locking temperature.…”
Section: In Figmentioning
confidence: 99%
“…It is expected that vapor shielding phenomena will play an important role in power handling at high input powers. Earlier studies of this phenomenon have been performed for solid targets [14,15], and for liquid tin [6]. It was found that when increasing the applied power density to the target a point is encountered beyond which the surface temperature is very insensitive to the applied power: a locking temperature.…”
Section: In Figmentioning
confidence: 99%
“…Relevant liquid metal properties include viscosities, diffusivities, hydrogen solubilities, and wetting properties. Recently, experimental studies have been performed focusing on the understanding of properties of liquid lithium 9,10 and liquid tin 11,12 in the context of plasma-facing materials.…”
Section: Introductionmentioning
confidence: 99%
“…1,2 This particular work is motivated by the plasma-liquid interactions inherent in magnetic confinement fusion devices, such as tokamaks, either due to melt damage of the metal walls 3 or in new liquid metal divertor concepts. [4][5][6] The ejection of molten droplets has been observed in both cases 7,8 and is of considerable concern to the operation of a successful fusion device. Understanding the stability of the liquid metal surface is a critical issue.…”
mentioning
confidence: 99%
“…The perturbation to the electric potential is then compared to the boundary condition / 1;z¼0 ¼ E z0;z¼0 n 1 , and the initial guessed values are updated accordingly. This cycle of shooting and correcting is continued until the / 1 boundary condition is satisfied to within a given error tolerance which was taken to be at least 1 part in 10 5 . The codes used to generate and analyse these results are available at http://www.github.com/joshholgate/ELIPS.…”
mentioning
confidence: 99%