3–7 Jun 2018
Jackson Lake Lodge
America/Denver timezone

CST PARTICLE-IN-CELL MODELING OF A TUNABLE REFLEX-TRIODE VIRCATOR

5 Jun 2018, 16:45
15m
Wrangler/Prospector/Homesteader

Wrangler/Prospector/Homesteader

Oral Presentation Analytical Methods, Modeling, and Simulation Oral 8 - HPM, Analytical & Simulations

Speaker

David Barnett (Texas Tech University)

Description

This study serves to describe three-dimensional particle-in-cell (PIC) simulations of a tunable reflex-triode virtual cathode oscillator (vircator). Experimental data from the compact hard-tube reflex-triode vircator developed at Texas Tech University (TTU) is used to validate simulated results. The vircator developed at TTU is capable of burst-mode operation at pulse repetition rates (PRFs) up to 100 Hz for a period of one second. The vircator is driven by a pulse energy of 158 J, and 600 kV (open circuit) pulse forming network (PFN) based Marx generator1. The vircator is comprised of a bimodal, carbon fiber cathode and pyrolytic graphite anode, with the ability to quickly change the distance between the anode-cathode (A-K) gap, backwall distance, and bottom plate distance between experiments. The PIC simulations have been performed using CST PIC Solver, by Dassault Systemes. The models detail virtual cathode formation and the subsequent extraction of radiated microwave power for a variety of cavity geometries. A working three-dimensional, relativistic, electromagnetic, particle-in-cell model of a vircator allows for quick, predictive results relative to building an experimental setup. The model is used to determine the necessary driving voltages, A-K gap distances, and cathode current densities to extract microwave radiation at a desired. Simulated results aid in identifying mode contributions. Voltage, current, and microwave data are presented and compared against experimental results at different operating conditions.

Authors

David Barnett (Texas Tech University) James Dickens (Texas Tech University) Andreas Neuber (Texas Tech University) John Mankowski (Texas Tech University)

Presentation materials

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Peer reviewing

Paper

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