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arXiv 2405.18545physics.acc-ph
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用于下一代加速器靶设施的新型材料

Novel materials for next-generation accelerator target facilities

K. Ammigan, G. Arora, S. Bidhar, A. Burleigh, F. Pellemoine, A. Couet, N. Crnkovich, I. Szlufarska

AI总结:

针对下一代加速器高功率靶系统面临的热冲击和辐射损伤挑战,探索高熵合金与电纺纳米纤维等新型材料,通过优化成分和微观结构提升耐受性,以支持未来多兆瓦设施。

摘要:

随着下一代加速器设施中束流功率的持续增加,高功率靶系统面临严峻挑战。束窗和粒子产生靶等部件必须承受显著更高的粒子注量。初级束流的能量沉积会在靶材料内部引起快速加热(热冲击)并诱发微观结构变化(辐射损伤)。这些效应最终会恶化部件的性能和寿命。由于传统材料已接近其极限,我们正在探索包括高熵合金和电纺纳米纤维在内的新型材料,这些材料为增强对热冲击和辐射损伤的耐受性提供了全新途径。在介绍高功率靶系统面临的挑战之后,我们将概述迄今为止在定制这些开创性材料的成分和微观结构方面所取得的令人瞩目的进展。我们的重点是优化它们在束流下的热机械性能和物理性能。此外,我们还将概述正在进行中的束流辐照实验和先进材料表征计划。这项研究的主要目标是推动靶材料的前沿发展,从而为未来多兆瓦级设施提供支持,这些设施将惠及高能物理及其他领域的各种项目。

英文摘要:

As beam power continues to increase in next-generation accelerator facilities, high-power target systems face crucial challenges. Components like beam windows and particle-production targets must endure significantly higher levels of particle fluence. The primary beam's energy deposition causes rapid heating (thermal shock) and induces microstructural changes (radiation damage) within the target material. These effects ultimately deteriorate the components' properties and lifespan. With conventional materials already stretched to their limits, we are exploring novel materials including High-Entropy Alloys and Electrospun Nanofibers that offer a fresh approach to enhancing tolerance against thermal shock and radiation damage. Following an introduction to the challenges facing high-power target systems, we will give an overview of the promising advancements we have made so far in customizing the compositions and microstructures of these pioneering materials. Our focus is on optimizing their in-beam thermomechanical and physics performance. Additionally, we will outline our ongoing plans for in-beam irradiation experiments and advanced material characterizations. The primary goal of this research is to push the frontiers of target materials, thereby enabling future multi-MW facilities that will benefit various programs in high-energy physics and beyond.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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