Non-local, diamagnetic electromagnetic effects in long MITLs

Autor: Evstatiev, E. G., Hess, M. H., Hamlin, N. D.
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: We identify the physics responsible for the critical reduction of current losses in magnetically insulated transmission lines (MITLs) before magnetic (self-) insulation has been established. Focusing on time-dependent physics, a drive current with a prototypical sine squared temporal profile introduces sufficiently strong time dependence that steady state results alone become insufficient for the complete understanding of current losses. We find that the effects of time dependence are most pronounced in long MITLs, i.e., MITLs in which an electromagnetic wave traverses its length in time comparable to the current pulse length. The time-dependent physics can be described as non-local, diamagnetic electromagnetic response of space charge limited currents. As the length of the MITL is reduced (in the above sense), current losses converge to those based on the well known Child-Langmuir law in static external fields. We present a simple one-dimensional (1D) model that encapsulates the essence of this physics. We find excellent agreement with 2D particle-in-cell (PIC) simulations for two MITL geometries, Cartesian parallel plate and azimuthally symmetric straight coaxial. Based on the 1D model, we explore various scaling dependencies of current losses with relevant parameters, e.g., peak current, peak pulse time, geometrical dimensions, etc. We also propose an improved physics model of magnetic insulation, which could help improve predictions of current losses by common circuit element codes, such as BERTHA. Lastly, we describe how to calculate temperature rise due to electron impact, as a diagnostic within the 1D model. Keywords: magnetically insulated transmission line; MITL; parallel plate; coaxial; magnetic insulation; non-local; diamagnetic; particle-in-cell; PIC; kinetic; space charge limited; SCL; electron emission; BERTHA; circuit element model; Z machine.
Databáze: arXiv