Differences in the acoustic characteristics of DC bias alternating arcs in argon, helium, and nitrogen

Abstract The acoustic effects of gas discharge plasma have received much attention. Previous studies have shown that cold plasma and thermal plasma have different principles of sound generation. In this paper, the differences in the acoustic characteristics of DC bias alternating arc plasma (thermal plasma) in different gas environments (argon, helium, and nitrogen) are investigated by combining experiments and simulations. Many processes in industrial machining involve this arc plasma. It was found that the acoustic characteristics of the arcs of these three gases are significantly different. The two key parameters, electrical and thermal conductivity of the gas, determine the acoustic characteristics of the arc by influencing the electric power of the arc and the heat dissipation through the anode. At the same drive current, the nitrogen arc has the largest voltage drop and the helium arc has the highest electroacoustic conversion efficiency. This results in the acoustic pressure amplitude being helium, nitrogen, and argon in descending order. The research contributes to a deeper understanding of the vocalization mechanism of arc plasma and provides theoretical guidance on gas selection for arc acoustic wave applications.

Authors

Institutions

Publication Details

Journal
Chinese Physics B
Published
2024-09-27
DOI
https://doi.org/10.1088/1674-1056/ad8070
Citations
3
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differences in the acoustic characteristics of DC bias alternating arcs in argon, helium, and nitrogen

Zhigang Liu, Xiaobing Zou, Yangyang Fu, Yutai Li et al.
3 citations
Chinese Physics B
High voltage insulation and dielectric phenomena
0.35
article

Differences in the acoustic characteristics of DC bias alternating arcs in argon, helium, and nitrogen

Zhigang Liu, Xiaobing Zou, Yangyang Fu, Yutai Li, Dun Qian, Zhe Chen, Xinxin Wang, Handong Li, Haiyun Luo, Qinghao Wen
article en
3 citations

Abstract

Abstract The acoustic effects of gas discharge plasma have received much attention. Previous studies have shown that cold plasma and thermal plasma have different principles of sound generation. In this paper, the differences in the acoustic characteristics of DC bias alternating arc plasma (thermal plasma) in different gas environments (argon, helium, and nitrogen) are investigated by combining experiments and simulations. Many processes in industrial machining involve this arc plasma. It was found that the acoustic characteristics of the arcs of these three gases are significantly different. The two key parameters, electrical and thermal conductivity of the gas, determine the acoustic characteristics of the arc by influencing the electric power of the arc and the heat dissipation through the anode. At the same drive current, the nitrogen arc has the largest voltage drop and the helium arc has the highest electroacoustic conversion efficiency. This results in the acoustic pressure amplitude being helium, nitrogen, and argon in descending order. The research contributes to a deeper understanding of the vocalization mechanism of arc plasma and provides theoretical guidance on gas selection for arc acoustic wave applications.

Chinese Physics BVol. 33(12)
Electric Power Research Institute (US), Chongqing University (CN), China Three Gorges Corporation (China) (CN), Hua Yuan Group (China) (CN), Shanghai Electric (China) (CN), China Huaneng Group Co., Ltd. (China) (CN), Xi'an Jiaotong University (CN), Tsinghua University (CN)
Openalex Percentile: Top 44%
High voltage insulation and dielectric phenomena
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.