Sub-microsecond pulsed atmospheric glow discharges with and without dielectric barrier

Song, Shutong; Guo, Ying; Choe, Wonho; Zhang, Jie; Zhang, Jing; Shi, Jianjun

doi:10.1063/1.4772780

Cited by 15 publications

(7 citation statements)

References 18 publications

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“…In figure 1(b), the duration of the voltage rise phase, plateau phase and falling phase are the same as in figure 1(a), but the voltage amplitude is increased to 2560 V due to the voltage drop across the dielectric plates [34], and the thickness of the dielectric plates is set to 1.5 mm with a relative permittivity of 7.5. It is obvious from figure 1(b) that there are double peak currents with amplitudes of 187.8 and 165.4 mA cm −2 at the rising and falling phases of applied pulsed voltage, respectively, which is consistent with the findings in [34,43,54,59]. However, in the barrier-free NPD, only a single current pulse appears at the end of the plateau phase of the applied voltage in figure 1(a), as also reported in the experimental observations in [25,34,42,44,45], which indicates that the new physical mechanism occurs as the dielectric is removed and the underlying physics should be further clarified by the computational data.…”

Section: Discharge Characteristics Of Barrier-free Npdssupporting

confidence: 87%

“…Furthermore, it has been proved that modulation of the pulsed voltage waveform, such as pulse rise rate and plateau voltage, could effectively optimize the corresponding discharge characteristics of NPDs for practical applications [25,26,[32][33][34][35][36]. Generally speaking, high-pressure NPDs are commonly achieved by means of a dielectric barrier covering the electrodes in the experiments [37][38][39][40][41]; however, considering that the dielectric layers may be contaminated after persistent usage, which would cause them to lose their ability to stabilize NPDs, it is desirable to dispense with the use of a dielectric barrier in the various applications [34,42,43]. Walshʼs group reported that a barrier-free sub-microsecond pulsed discharge was achieved within the kilohertz range in experiments [44], and Iza et al introduced a hybrid computational model to explore the electrical properties of the barrier-free multi-pulse discharge at atmospheric pressure [25].…”

Section: Introductionmentioning

confidence: 99%

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Modeling study on different discharge characteristics in pulsed discharges with and without barriers on electrodes

Gao¹,

Wang²,

Zhang³

2023

Plasma Sci. Technol.

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High-pressure Nanosecond Pulsed Discharge (NPD) has attracted an increasing attention in recent years due to the widely potential applications. In this study, a barrier-free NPD in pure helium plasma at 120 Torr was numerically investigated by a one-dimensional self-consistent fluid model, and its Current-Voltage Characteristics (CVCs) show very dierent behaviors from those in pulsed Dielectric Barrier Discharges (DBDs), which indicates entirely distinctive discharge evolution in pulsed discharges with or without barriers on electrodes. Without the control of barriers, the computational data suggest that the discharge current increases very sharply during the plateau phase of the pulsed voltage and reaches the peak value approximately at the instant when the pulsed voltage starts to drop, together with a gradual reduction in the sheath thickness and an increase in electric field in sheath region, which is in well accordance with the experimental observations. By increasing the voltage plateau width and repetition frequency, the discharge current density from the simulation can be substantially enhanced, which cannot be observed in the conventional pulsed DBDs, and the spatial distributions of the electric field and charged particles are given to unravel the underlying physics. From the computational data, the distinctive discharge characteristics in the barrier-free NPDs are deeply understood, and could be further optimized by tailoring the waveforms of pulsed voltage to obtain the desirable plasmas for applications.

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Section: Discharge Characteristics Of Barrier-free Npdssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Modeling study on different discharge characteristics in pulsed discharges with and without barriers on electrodes

Gao¹,

Wang²,

Zhang³

2023

Plasma Sci. Technol.

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“…This is also because of the elevated proportion of the sheath thickness to discharge gap distance as the thickness of the plasma bulk region is reduced by the reduction in the discharge gap distance, where the electron density is high and the electron energy is low. [27] Conversely, when the discharge gap is reduced from 1.00 mm to 0.12 mm, the population of energetic electrons increases from 0.34 × 10 10 m −1 to 1.08 × 10 11 m −1 owing to the elevated proportion of energetic electrons and discharge intensity, as shown in Fig. 5.…”

Section: Discharge Characteristics and Dynamics At The Instants Of Di...mentioning

confidence: 94%

Electron characteristics and dynamics in sub-millimeter pulsed atmospheric dielectric barrier discharge

Fang 方,

Zhang 张,

Lu 卢

et al. 2024

Chinese Phys. B

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The discharge characteristics and mechanism of sub-millimetre pulsed dielectric barrier discharge in atmospheric-pressure helium are investigated experimentally and theoretically, demonstrating that when the discharge gap distance is reduced from 1.00 mm to 0.20 mm, the discharge ignition time is reduced to approximately 40 ns and discharge intensity is enhanced in terms of the discharge optical emission intensity and density of the plasma species, (energetic electrons with energy above 8.40 eV). The simulated results show that as the discharge gap distance is further reduced to 0.10 mm, the number of energetic electrons decreases, which is attributable to the contraction of plasma bulk regime and reduction of electron density in the discharge bulk. Conversely, the proportion of energetic electrons to the total electrons in the discharge monotonically increases as the discharge gap distance is reduced from 1.00 mm to 0.10 mm. It is proposed that a gap distance of 0.12 mm is optimal to achieve a high concentration and proportion of energetic electrons in sub-millimetre pulsed atmosphere dielectric barrier discharge.

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“…两个电极之间施加正弦电压 , 其中, V 0 为幅值, f为频率. 放电背景气体为纯氦气, 反应集合来自文献[35]. 使用有限差分法数值求解上述方程(1)-(4), 其中方程(2) 结合改进的Scharfetter-Gummel (SG)算法.…”

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Numerical study of discharge characteristics of atmospheric dielectric barrier discharges by integrating machine learning

Ai¹,

Liu²,

Zhang³

2022

Acta Phys. Sin.

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In recent years, with the development of gas discharge technology at atmospheric pressure, the application of low temperature plasma has drawn widespread concern in pollution prevention, disinfection, sterilization, energy conversion and other fields. Atmospheric dielectric barrier discharge is widely used to produce low-temperature plasmas in various applications, which is usually numerically investigated by fluid models. The unique advantages of machine learning in various branches of physics have been discovered with the advancement of big data processing technology. Recent studies have shown that artificial neural networks with multiple hidden layers have a pivotal role in the simulation of complex datasets. In this paper, a fully connected multilayer BP network together with a universal hidden layer structure is developed to explore the characteristics of one or more current pulses per half voltage cycle of atmospheric dielectric barrier discharge. The calculated data are used as training sets, and the discharge characteristics such as current density, electron density, ion density, and electric field of atmospheric dielectric barrier discharge can be quickly predicted by means of artificial neural network program. The computational results show that, for a given training set, the constructed machine learning program can describe the properties of atmospheric dielectric barrier discharge with almost the same accuracy as the fluid model. Also, the computational efficiency of the machine learning is much higher than that of the fluid model. In addition, the use of machine learning programs can also greatly extend the calculation range of parameters. Limited discharge parameter range is considered a major challenge for numerical calculation. By substituting a relatively limited set of training data obtained from the fluid model into the machine learning, the discharge characteristics can be accurately predicted within a given range of discharge parameters, leading to the generation of an almost infinite set of data, which is of great significance for studying the influence of discharge parameters on discharge evolution. The examples in this paper show that the combination of machine learning and fluid models can greatly improve the computational efficiency, which can enhance the understanding of discharge plasmas.

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Sub-microsecond pulsed atmospheric glow discharges with and without dielectric barrier

Cited by 15 publications

References 18 publications

Modeling study on different discharge characteristics in pulsed discharges with and without barriers on electrodes

Modeling study on different discharge characteristics in pulsed discharges with and without barriers on electrodes

Electron characteristics and dynamics in sub-millimeter pulsed atmospheric dielectric barrier discharge

Numerical study of discharge characteristics of atmospheric dielectric barrier discharges by integrating machine learning

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