Computational Analysis of the Effects of Power on the Electromagnetic Characteristics of Microwave Systems with Plasma

The scaling of microwave plasma technologies from successful laboratory demonstrations to larger industrial applications usually involves an increase in microwave power. This upgrade is accompanied by a higher electron density (and electric conductivity) of the plasma that often limits the power efficiency of the device. In this paper, we address this issue through a focused computational study of electromagnetic characteristics of a microwave system containing plasma. Our approach employs finite-different time-domain analysis supported by a simple model which characterizes the plasma medium using plasma frequency and the frequency of electron-neutral collisions. Based on experimental data for electron density with respect to power, the plasma frequency is generated as a linear function of power, thus enabling a direct understanding of how frequency characteristics of the reflection coefficient and patterns of the electric field may vary for different power levels in a variety of plasma scenarios. For a cavity modeled after conventional plasma applicators, computational results illustrate complex behavior of the field with respect to power. When the power is increased, energy efficiency may decrease, remain low, or increase depending on where the operating frequency stands with respect to the system’s resonances. The proposed modeling approach identifies the system parameters which are most impactful in tuning the system to resonance, thus informing the design variables for subsequent computer-aided design of the scaled system.

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Publication Details

Journal
Energies
Published
2025-09-26
DOI
https://doi.org/10.3390/en18195128
Primary Topic
Gyrotron and Vacuum Electronics Research
Type
article
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article

Computational Analysis of the Effects of Power on the Electromagnetic Characteristics of Microwave Systems with Plasma

Vadim V. Yakovlev, K. Hadidi, Camille E. Williams
Energies
Gyrotron and Vacuum Electronics Research
article

Computational Analysis of the Effects of Power on the Electromagnetic Characteristics of Microwave Systems with Plasma

Vadim V. Yakovlev, K. Hadidi, Camille E. Williams
article en

Abstract

The scaling of microwave plasma technologies from successful laboratory demonstrations to larger industrial applications usually involves an increase in microwave power. This upgrade is accompanied by a higher electron density (and electric conductivity) of the plasma that often limits the power efficiency of the device. In this paper, we address this issue through a focused computational study of electromagnetic characteristics of a microwave system containing plasma. Our approach employs finite-different time-domain analysis supported by a simple model which characterizes the plasma medium using plasma frequency and the frequency of electron-neutral collisions. Based on experimental data for electron density with respect to power, the plasma frequency is generated as a linear function of power, thus enabling a direct understanding of how frequency characteristics of the reflection coefficient and patterns of the electric field may vary for different power levels in a variety of plasma scenarios. For a cavity modeled after conventional plasma applicators, computational results illustrate complex behavior of the field with respect to power. When the power is increased, energy efficiency may decrease, remain low, or increase depending on where the operating frequency stands with respect to the system’s resonances. The proposed modeling approach identifies the system parameters which are most impactful in tuning the system to resonance, thus informing the design variables for subsequent computer-aided design of the scaled system.

EnergiesVol. 18(19)
Worcester Polytechnic Institute (US), University of Sudbury (CA)
Openalex Percentile: Top 79%
Gyrotron and Vacuum Electronics Research
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Computational Analysis of the Effects of Power on the Electromagnetic Characteristics of Microwave Systems with Plasma — Vadim V. Yakovlev, K. Hadidi, et al. · Energies (2025) | TGRS Research Map | TGRS