JOURNAL ARTICLE
Numerical simulation of electromagnetic-wave interference induced by ionization-front of millimeter-wave discharge at subcritical conditions and application to discharge structure identification.
Published In: Journal of Applied Physics, 2024, v. 136, n. 15. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Suzuki, S.; Takahashi, M. 3 of 3
Abstract
This article focuses on the development and numerical validation of an interferometric discharge structure identification (IDSI) method for millimeter-wave atmospheric discharges, specifically at 170 GHz under subcritical conditions. The IDSI method analyzes the time-varying waveform of standing-wave intensity formed by interference between incident and reflected millimeter waves at the ionization-front, enabling distinction between continuous comb-shaped and discrete discharge structures without relying on high-speed cameras. Numerical simulations demonstrate that smooth waveforms correspond to continuous structures, while noisy waveforms with high-frequency components indicate discrete structures; in both cases, the peak frequency of the Fourier spectrum is proportional to the ionization-front propagation speed, validating the location method for speed measurement. Additionally, the high-frequency components in discrete structures arise from increased millimeter-wave absorption during new plasma spot formation, suggesting the IDSI method can also time plasma spot formation experimentally. The study further shows that off-axis observation points yield similar waveform distinctions, supporting practical experimental implementation.
Additional Information
- Source:Journal of Applied Physics. 2024/10, Vol. 136, Issue 15, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2024
- ISSN:0021-8979
- DOI:10.1063/5.0225500
- Accession Number:180489433
- Copyright Statement:Copyright of Journal of Applied Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.