Chinese Optics Letters, Volume. 20, Issue 7, 073001(2022)

Optical analysis method for fast plasma characterization of high-speed miniaturized synthetic jet

Ye Yuan1, Yan Zhang2, Cheng Guo1, Xiaolu Kang2, Zhong Yan1, Xiaoping Huang1,*, and Qing Zhao1
Author Affiliations
  • 1School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 610054, China
  • 2Shanghai Institute of Space Propulsion, Shanghai Engineering Research Center of Space Engine, Shanghai 201112, China
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    In this paper, a new optical analysis method for plasma characterization is proposed. Plasma characteristics are obtained directly by measuring the plasma luminous color, rather than the complex spectral diagnosis method, which is difficult to obtain at high speed. By using the light transmittance curve of the human cornea, the RGB coordinates are calculated from the measured plasma spectrum data. Plasma characteristics are diagnosed using the Boltzmann plot method and the Stark broadening method. The corresponding relationship of the electron temperature, electron density data points, and luminous color is established and analyzed. Our research results indicate that this optical analysis method is feasible and promising for fast plasma characterization.


    1. Introduction

    The optical spectral diagnosis is widely used nowadays in plasma characterization[19], quality inspection[1012], medical science[1316], and many other fields[1719]. The plasma diagnosis method based on the emission spectrum can be used for experimental research on the plasma characteristics of plasma synthetic jet actuators, such as electron temperature and electron density[19].


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    Ye Yuan, Yan Zhang, Cheng Guo, Xiaolu Kang, Zhong Yan, Xiaoping Huang, Qing Zhao. Optical analysis method for fast plasma characterization of high-speed miniaturized synthetic jet[J]. Chinese Optics Letters, 2022, 20(7): 073001

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 25, 2022

    Accepted: Apr. 12, 2022

    Published Online: May. 6, 2022

    The Author Email: Xiaoping Huang (



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