论文标题

使用相似性缩放探索Maglif内爆的参数空间。 I.理论框架

Exploring the parameter space of MagLIF implosions using similarity scaling. I. Theoretical framework

论文作者

Ruiz, D. E., Schmit, P. F., Yager-Elorriaga, D. A., Jennings, C. A., Beckwith, K.

论文摘要

磁惯性融合(MIF)概念,例如磁化衬里惯性融合(MAGLIF)平台[M. R. Gomez等人,物理学。莱特牧师。 113,155003(2014)],构成了实现点火和实验室大量融合产量的有前途的途径。定义MAGLIF负载的实验输入参数的空间是高度多维的,并且内爆本身是一个复杂的事件,涉及许多物理过程。在本系列的第一篇论文中,我们开发了一个简化的分析模型,该模型可以识别MAGLIF内爆过程中发挥作用的主要物理过程。使用非二维分析,我们确定了表征MAGLIF内爆的最重要的无量纲参数,并使用典型的磁性或实验观察到的MAGLIF量提供了此类参数的估计。然后,我们证明MAGLIF负载可以“不完全”相似性,这意味着可以将MAGLIF的实验输入参数变化,从而保留许多(但不是全部)无尺寸的数量。基于相似性范围的参数,我们可以探索Maglif负载的参数空间,并估算缩放载荷的性能。在本系列的后续论文中,我们测试了MAGLIF负载的相似缩放理论,以针对两个不同的缩放“向量”进行模拟,其中包括当前的缩放和上升时间缩放。

Magneto-inertial fusion (MIF) concepts, such as the Magnetized Liner Inertial Fusion (MagLIF) platform [M. R. Gomez et al., Phys. Rev. Lett. 113, 155003 (2014)], constitute a promising path for achieving ignition and significant fusion yields in the laboratory. The space of experimental input parameters defining a MagLIF load is highly multi-dimensional, and the implosion itself is a complex event involving many physical processes. In the first paper of this series, we develop a simplified analytical model that identifies the main physical processes at play during a MagLIF implosion. Using non-dimensional analysis, we determine the most important dimensionless parameters characterizing MagLIF implosions and provide estimates of such parameters using typical fielded or experimentally observed quantities for MagLIF. We then show that MagLIF loads can be "incompletely" similarity scaled, meaning that the experimental input parameters of MagLIF can be varied such that many (but not all) of the dimensionless quantities are conserved. Based on similarity-scaling arguments, we can explore the parameter space of MagLIF loads and estimate the performance of the scaled loads. In the follow-up papers of this series, we test the similar scaling theory for MagLIF loads against simulations for two different scaling "vectors", which include current scaling and rise-time scaling.

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