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Multi-device analysis of energy loss duration and pellet penetration with implications for shattered pellet injection in ITER

G. Bodner, N. Eidietis, Z. Chen, P. Heinrich, J. Herfindal, S. Jachmich, G. Papp, J. Kim, M. Lehnen, U. Sheikh2025年6月Nuclear FusionIF 3出版社

A robust disruption mitigation system (DMS) requires accurate characterization of key disruption timescales, one of the most notable being the thermal quench (TQ). Recent modeling of shattered pellet injection (SPI) into ITER plasmas, using JOREK and INDEX, suggests long TQ durations (6–10 ms) and slow cold front propagation due to the large plasma size. If validated, these predictions would have an impact on the desired pellet parameters and mitigation strategies for the ITER DMS. To resolve these questions, a database of SPI experiments from several small-to-large sized devices (J-TEXT, KSTAR, AUG, DIII-D, and JET) has been compiled under the auspices of the International Tokamak Physics Activity MHD, disruptions, and control topical group. Analysis of the energy loss duration (proxy for the TQ duration) with machine size is presented for both mixed neon/deuterium (Ne/D) SPI and pure deuterium (D) SPI. Several metrics for the energy loss onset (e.g. soft x-ray signal drop, dip, and radiation flash) were considered as the conventional metric, electron cyclotron emission, is often cut-off during SPI. Several scalings with different onset metrics showed an increase in energy loss duration with machine size. The energy loss duration was additionally shown to be a function of the ratio between the number of SPI neon atoms injected and the stored energy. Analysis of the pellet shard position relative to the cold front found that in larger devices, pellets are typically found inboard of the surface at the energy loss onset. Lastly, the delay between the pellet shards hitting the surface and the energy loss onset was additionally found to increase with machine size. This suggests that the pellet shards in large devices will penetrate faster and further than the cooling front.

日本語訳

堅牢な崩壊緩和システム(DMS)には、主要な崩壊タイムスケール、特に熱クエンチ(TQ)の正確な特性評価が必要である。JOREKおよびINDEXを用いたITERプラズマへの破砕ペレット注入(SPI)の最近のモデリングは、プラズマサイズが大きいために、TQ継続時間が長く(6–10 ms)、冷却フロントの伝播が遅いことを示唆している。これらの予測が検証されれば、ITER DMSの望ましいペレットパラメータと緩和戦略に影響を与えるだろう。これらの疑問を解決するために、J-TEXT、KSTAR、AUG、DIII-D、およびJETの小型から大型までの複数の装置におけるSPI実験のデータベースが、International Tokamak Physics Activity MHD, disruptions, and control topical groupの後援の下で編纂された。装置サイズに対するエネルギー損失継続時間(TQ継続時間の代理指標)の解析が、混合ネオン/重水素(Ne/D)SPIと純重水素(D)SPIの両方について示されている。電子サイクロトロン放射という従来の指標はSPI中にしばしば遮断されるため、エネルギー損失開始のいくつかの指標(例えば、軟X線信号の低下、

装置

iter高精度(タイトル一致)diii-d低精度(概要文一致)jet低精度(概要文一致)kstar低精度(概要文一致)

wiki

ITERPellet injectionShattered pellet injection

AIによる論文要約

複数デバイスでのエネルギー損失期間とペレット浸入に関する分析 - ITER向けシャッタードペレット注入への示唆
JAプラズマ物理や核融合工学の研究者、ITER計画関係者が本論文を参考にすることで、より効果的な中断緩和システムの開発に役立てられます。#プラズマ中断緩和 #シャッタードペレット注入 #ITER #エネルギー損失期間 #ペレット浸入
LLM向け: {'Title': '複数デバイスでのエネルギー損失期間とペレット浸入に関する分析 - ITER向けシャッタードペレット注入への示唆', 'Author(s)'…

この論文は、ITER向けの安定したプラズマ中断緩和システムの開発に重要な知見を提供します。研究では、複数のトカマクデバイスでのシャッタードペレット注入実験を分析し、プラズマサイズに応じたエネルギー損失期間の変化やペレット破片の浸入深さなどを明らかにしています。これらの知見は、ITERでの中断緩和戦略の最適化に活用できます。

Multi-device analysis of energy loss duration and pellet penetration with implications for shattered pellet injection in ITER
ENThis paper is of interest to fusion researchers and engineers involved in the development of disruption mitigation systems for ITER and other large tokamaks. It provides valuable insights into the scaling of key disruption parameters with machine size, which is crucial for optimizing the design and performance of the ITER disruption mitigation system.#FusionResearch #DisruptionMitigation #SPI #ITER
LLM向け: {'Title': 'Multi-device analysis of energy loss duration and pellet penetration …

This paper investigates the impact of machine size on the energy loss duration and pellet penetration during shattered pellet injection (SPI) experiments across multiple tokamaks. The findings suggest that larger devices like ITER may experience longer thermal quench durations and slower cold front propagation, which could affect the design of the disruption mitigation system.

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