Integrated modeling of boron powder injection for real-time plasma-facing component conditioning
Florian Effenberg, Klaus Schmid, Federico Nespoli, Alessandro, Bortolon, Y\"uhe Feng, Brian A. Grierson, Jeremy D. Lore, Rajesh Maingi,, Dmitry L. Rudakov

TL;DR
This paper presents an integrated modeling framework combining plasma and particle transport simulations to analyze boron powder injection for real-time surface conditioning in tokamaks, with implications for ITER.
Contribution
It introduces a comprehensive modeling approach that combines multiple simulation tools to predict boron deposition patterns during plasma-facing component conditioning.
Findings
Boron transport is mainly influenced by main ion plasma flow.
Particle size has negligible effect on boron transport in the studied scenario.
Model predictions align with experiments at low injection rates, but high-rate predictions need experimental validation.
Abstract
An integrated modeling framework for investigating the application of solid boron powder injection for real-time surface conditioning of plasma-facing components in tokamak environments is presented. Utilizing the DIII-D impurity powder dropper setup, this study simulates B powder injection scenarios ranging from mg/s to tens of mg/s, corresponding to B flux rates of B/s in standard L-mode conditions. The comprehensive modeling approach combines EMC3-EIRENE for simulating the D plasma background and DIS for the ablation and transport of the B powder particles. The results show substantial transport of B to the inboard lower divertor, predominantly influenced by the main ion plasma flow. The dependency on powder particle size (5-250 m) was found to be insignificant for the scenario considered. The effects of erosion and redeposition were considered to reconcile the…
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Taxonomy
TopicsManufacturing Process and Optimization · Semiconductor materials and devices · Additive Manufacturing and 3D Printing Technologies
