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  5. Prompt vs Local Redeposition: Model Refinement and Experimental Design for Understanding High-Z Net Erosion in Magnetic Confinement Fusion
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Prompt vs Local Redeposition: Model Refinement and Experimental Design for Understanding High-Z Net Erosion in Magnetic Confinement Fusion

Date Issued
August 1, 2024
Author(s)
Easley, Davis C  
Advisor(s)
David C. Donovan
Additional Advisor(s)
Theodore Biewer
Livia Casali
Ezekial Unterberg
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/18560
Abstract

The economic and engineering success of magnetic confinement fusion reactors significantly depends upon the optimization of plasma facing component (PFC) design. For high-Z PFCs, the critical engineering condition is minimal net erosion (i.e. gross erosion – redeposition). Here, we present a high-Z net erosion model discriminating three primary redeposition mechanisms: prompt (geometric-driven), local (sheath-driven), and far (scrape-off-layer-driven). Using these distinctions, we show modeling for high-Z net erosion in magnetic-confinement fusion over a matrix of key plasma parameters. With Sobol’ methods we assess the sensitivity of each mechanism and show that prompt-vs-local trade-off critically explains underprediction in redeposition losses of up to two orders of magnitude across magnetic-field-to-PFC pitch angles. Finally, we report a “design-of-experiment” study exploring the measurability of prompt vs local distinctions in current experimental facilities. We use a combination of synthetic diagnostics and plasma-parameter optimization to propose an isotopic method of measurement by exploiting robust in situ and ex situ techniques. In principle, this approach provides a ready path forward for improving and validating PFC models needed to target optimal regimes of PFC design in future reactors.

Subjects

plasma-material inter...

fusion energy

tungsten redeposition...

synthetic diagnostics...

Disciplines
Nuclear Engineering
Plasma and Beam Physics
Degree
Doctor of Philosophy
Major
Energy Science and Engineering
File(s)
Thumbnail Image
Name

Easley_Dissertation.pdf

Size

28.53 MB

Format

Adobe PDF

Checksum (MD5)

1e7ef98cc58efff87bd3ee7da3fc6bfe


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