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Min ZHANG, Yunhu LIU, Yao LI, Shuqi LI, Hao YUAN, Jianping LIANG, Xiongfeng ZHOU, Dezheng YANG. Generation of atmospheric pressure air diffuse discharge plasma in oxygen enriched working gas with floating electrode[J]. Plasma Science and Technology, 2023, 25(4): 045405. DOI: 10.1088/2058-6272/aca5f3
Citation: Min ZHANG, Yunhu LIU, Yao LI, Shuqi LI, Hao YUAN, Jianping LIANG, Xiongfeng ZHOU, Dezheng YANG. Generation of atmospheric pressure air diffuse discharge plasma in oxygen enriched working gas with floating electrode[J]. Plasma Science and Technology, 2023, 25(4): 045405. DOI: 10.1088/2058-6272/aca5f3

Generation of atmospheric pressure air diffuse discharge plasma in oxygen enriched working gas with floating electrode

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  • Corresponding author:

    Yunhu LIU, E-mail: liuyh@shzu.edu.cn

    Dezheng YANG, E-mail: yangdz@dlut.edu.cn

  • Received Date: September 14, 2022
  • Revised Date: November 13, 2022
  • Accepted Date: November 23, 2022
  • Available Online: December 05, 2023
  • Published Date: February 07, 2023
  • In this work, a floating electrode is employed to generate a stable large-area diffuse discharge plasma under an open oxygen-rich environment. The discharge image and the optical emission spectra of the N2(C-B), N+2(B-X), N2(B-A), and O(3p–3s, 777 nm) are measured to analyze the morphological and optical characteristics of the discharge. The effects of applied voltage, gas flow rate, and electrode gap on the reactive species, vibrational temperature and rotational temperature are investigated, and the discharge mode is discussed by simulating the electrostatic field before the breakdown. It is found that the changes of applied voltage and electrode gap causes the transition of the discharge modes among corona mode, diffuse discharge mode and spark mode. It is shown that the floating electrode can inhibit the transition from discharge to spark mode to a certain extent, which is conducive to maintaining the stability of discharge. As is vividly illustrated in this study, the increase of applied voltage or the decrease of electrode gap contributes to the generation of more active particles, such as N2(C) and N+2(B). Furthermore, the Joule heating effect becomes more evident with the increased applied voltage when the electrode gap is 15 and 20 mm. Moreover, as the applied voltage increases, the vibrational temperature increases at the electrode gap of 25 mm.

  • Fishbone instability driven by trapped energetic ions, first discovered in poloidal divertor experiment (PDX) plasmas [1], has drawn a great deal of attention. Later, fishbone instabilities were then observed in PBX [2], JET [3], DIII-D [4], HL-2A [58] and EAST [9]. These instabilities accompanied by a loss of energetic particles result in the reduction of heating efficiency. The fishbone instability observed in experiments is known to be excited by energetic particles, which can be one of trapped energetic ions, passing energetic ions or superthermal electrons, under different resonance conditions. For instance, the mode frequency of the fishbone instability was observed to be close to the toroidal precession frequency of the trapped energetic ions in the PDX while in the PBX it is around the toroidal circulation frequency of passing energetic ions [1, 2].

    Based on these theories, we can understand reasonably well the physical mechanism of fishbone instability [1014]. Fishbone instabilities are internal kink modes with dominant poloidal and toroidal wave numbers m=1 and n=1, and can be resonantly excited by energetic ions produced by both perpendicular and tangential neutral beam injections (NBIs) [1, 2]. With the perpendicular injection, there are two theoretical explanations for the exciting conditions of fishbone instability: first, the mode frequency is comparable to the toroidal precession frequency of the trapped energetic ions [10] while the mode is considered to be an energetic particle mode (EPM); the second is that the mode frequency is close to the thermal ion diamagnetic frequency [11] while the mode is considered to be a 'gap' mode. With the tangential injection, theoretical prediction indicates that the fishbone instability has two branches: low- [12] and high-frequency branches [13]. The former's mode frequency close to the thermal ion diamagnetic frequency is modeled as a 'gap' mode, and the latter's mode frequency determined by the toroidal circulation frequency of passing energetic ions is considered to be an EPM. The resonance condition of the high-frequency branch can be specifically expressed as ωϕ+pωθ-ω=0, where ωϕ and ωθ are the circulation frequencies in the toroidal and poloidal directions, respectively, and p=0 is for the EPM branch of high-frequency fishbone driven by passing energetic ions [13]. To date, the EPM branch of low-frequency fishbone for p=-1 has been well documented [14]. In this work, we focus mainly on the high-frequency EPM branch with p=0.

    The ideal magnetohydrodynamic (MHD) description is usually employed to treat the thermal plasma in tokamaks. However, to handle the energetic ions the drift-kinetic description is often adopted, instead. By linearizing a drift-kinetic equation, we can obtain the adiabatic response (fluid contribution) and nonadiabatic response (kinetic contribution) of energetic ions [15]. When the ion energy is high, the ion collision frequency is low (compared to the Alfvén frequency). The drift-kinetic description is obviously more appropriate for the passing energetic ions driving high-frequency fishbone instability, i.e. the nonadiabatic response (which represents a resonance interaction) plays a dominant role. However, as they slow down, the energetic ions gradually approach Maxwellian distribution, and the contribution of adiabatic response becomes more important. Thus, nonadiabatic response alone becomes inadequate for representing the energetic ions in the course of the ions slowing down, as with most scenarios in tokamaks. In other words, both the adiabatic and nonadiabatic responses are important for the energetic ions in the intermediate energy range. However, in a previous work [13, 16], the contribution of adiabatic response to high-frequency fishbone instability has not been taken into account. Therefore, it is important to study the role of adiabatic response of passing energetic ions in high-frequency fishbone instability.

    This paper is organized as follows. In section 2, the fishbone dispersion relation including the contribution of adiabatic response is derived. In section 3, the potential energy arising from the adiabatic contribution of energetic ions is deduced by simplifying the generic slowing-down distribution function. In section 4, the numerical results obtained using the extended dwk++ [16] code in the present work are then compared with our analytical results to verify the modified code with the simplified slowing-down distribution function. Then, the effects of the distribution function parameters, such as beam ion radial profile, critical energy, pitch parameter distribution and beam ion drift orbit width on fishbone instability are studied. Finally, conclusions are given in section 5.

    In ideal MHD modes, the perturbation distribution function of passing energetic ions [15] can be expressed as the sum of the nonadiabatic and the adiabatic responses, δFh=δFhk+δFhf, where δFhk and δFhf correspond to the nonadiabatic and the adiabatic responses, respectively. The adiabatic response [17] can be written as,

    δFhf=-ξrrˉrq(ˉr)q(r)Fh(ˉr)ˉr, (1)

    where ξr is the radial displacement and q is the safety factor. Here, the coordinate of the minor radius, r=ˉr+ρdcosθ, where ˉr is the mean particle radius, θ is the poloidal angle, and the finite drift orbit width (FOW) [18], ρd(r,Λ,ϵ)=(qρ0/2)ϵ/(1-Λ/b)[Λ/b+2(1-Λ/b)], in which ϵ=v2/2 is the energy of particle, ρ0 is the gyro radius with injection energy, Λ=μB0/ϵ is the pitch parameter, μ=v2/2B is the magnetic moment, and the inverse of normalized magnetic field b=B0/B. Considering that energetic ions are produced by tangential NBI, a generalized energetic ion distribution function by using the slowing-down equilibrium distribution function for the energy of energetic ions and introducing Gaussian-type factors representing their pitch and radial dependences Fh can be expressed in the following form [16]:

    Fh(ˉr,ϵ,Λ)=1Cf23/2ϵ3/2+ϵ3/2cerfc(ϵ-ϵ0ϵ)×exp[-(ˉr-r0r)2]exp[-(Λ-Λ0Λ)2]. (2)

    In this expression, Cf=d3verfc(ϵ-ϵ0ϵ)exp[-(Λ-Λ0Λ)2]/(ϵ3/2+ϵ3/2c) is the normalization factor, d3v=2π/(b1-Λ/b)dΛϵ1/2dϵ, ϵc is the critical energy, ϵ0 is the injection energy of the beam ions, erfc is the complementary error function, and parameters r0 and Λ0 represent at which position the peaks of Fh occur in the radial position and pitch parameter, respectively. In equation (2), ϵ, r and Λ are the characteristic widths of energy, radial and pitch distribution, respectively. The potential energy arising from the adiabatic contribution of energetic ions can be written in the following form [14, 17]:

    δWhf=mhd3xd3vξ*·κϵδFhf, (3)

    where d3x=2πrR0(1+2εcosθ)drdθ, R0 is the major radius, ε is the inverse aspect ratio, κ=b·b is the magnetic field line curvature, ξ* is the conjugate of perpendicular displacement vector, and its specific form, which is assumed to be an internal kink-like mode structure, is given by equations (9) and (10) in [16]. According to [16, 19], the nonadiabatic contribution δWhk from nonadiabatic response of energetic ions is given by,

    δWhk=JqdˉrdΛϵ3dϵFhϵτb(ω-ω*)×p,σ|Yσp|2nωϕ+pωb-ω.. (4)

    Here, is a Jacobian of the coordinate, is the transit period of energetic particles [15] and is the transit frequency [20]. The quantity is the diamagnetic drift frequency, where and is the minor radius, and other quantities are defined as follows: Yσp(Λ,ˉr;σ)=τ1bdτG(τ)exp(ipωbτ), where , , for the direction of , and is the transit harmonic. For convenience of physical analysis represented in section 4, it is important to note that and , which appear in equation (4), are damping and driving terms, respectively.

    Based on the generalized variational principle, we assume that the internal kink mode is marginally unstable, i.e. δWMHD0, and subsequently obtain the following fishbone dispersion relation [16]:

    -iˉω+ωA4ω0(R0rs)2|aξ0|2βh,0Cp(δˉWhk+δˉWhf)=0, (5)

    where ˉω=ω/ω0, ω0=v0/R0, ωA=vA/(31/2R0s), s=rsdqr=rs/dr, vA=B/μ0ρm, ρm=mini, v0 is the injection velocity, rs is the radial position of q=1, ξ0 is the amplitude of the displacement vector, βh,0=8πn0T0/B2, Cp=p0/n0T0, p0 is the pressure of energetic ions at ˉr=r0, n0 is the density of energetic ions at ˉr=r0, T0 is the temperature corresponding to the injection energy, δˉWhk=δWhk/π2a2R0n0T0, δˉWhf=δWhf/π2a2R0n0T0. This dispersion relation including adiabatic response will be solved numerically in section 4. However, we first derive analytically the potential energy arising from the adiabatic contribution of energetic ions to verify the modified code with a simplified slowing-down distribution function [14].

    To obtain a clear expression of the dispersion relation, a simplified slowing-down distribution function [14] is employed:

    Fh(ˉr,ϵ,Λ)=Ph2πmhϵ01ϵ3/2δ(Λ)H(ϵ0-ϵ), (6)

    where Ph is the energetic ion pressure and H(x) is the Heaviside step function. With ˉr=r-ρdcosθ, ξr=ξ0H(rs-r)exp(i(ϕ-θ-ωt)), we expand equation (1) around ˉr to first order in ρd/ˉr by using r/ˉr=1+ρd/ˉrcosθ, q(ˉr)/q(r)=1-ρd/ˉrcosθ, where ρd/ˉr=ρdS(ˉr)/ˉr, S(ˉr)=(ˉrdq/dˉr)/q, and quadratic terms in ρd/ˉr are ignored. Thus, from equation (1) we arrive at,

    δFhf=-ξ0H(rs-ˉr)exp(-iθ)×(1+(ρdˉr-ρdˉr)cosθ)Fh(ˉr)ˉr. (7)

    With the flux coordinates, κr=-cosθ/R, κθ=εsinθ, ξθ=-irξr, and metric coefficients can be written as grr=1+εcosθ/2, grθ=-3εsinθ/2r, and gθθ=(1-5εcosθ/2)/r2, respectively [21]. Ignoring first-order terms of ρd/R, this gives,

    ξ*·κ=-ξ0RH(rs-ˉr)[1-εcosθ+32εcosθ×exp(i2θ)-32ε(isinθexp(i2θ))]. (8)

    Compared to ξ*·κ=-ξ0H(rs-ˉr)/R used in [17], we retain ξ*·κ up to the first order of the inverse aspect ratio ε, which makes the integral of equation (3) more accurate than that in a previous work [17]. Substituting equations (6)–(8) in equation (3), δWhf can easily be written in the following form:

    δWhf=δWhf(O(ρdˉr)0)+δWhf(O(ρdˉr)), (9)

    where

    δWhf(O(ρdˉr)0)=π2ξ20R0dˉrε2dPh|| (10)
    δWhfOρdr¯=-π2ξ02rsρddPh||dr¯rs+π2ξ02dr¯r¯ρdd2Ph||dr¯2+2π2ξ02dr¯ρddPh||dr¯. (11)

    Here, Ph||=2Ph. Equation (10) comes from the contribution of the lowest order in ρd/r¯ while equation (11) is the contribution of the FOW.

    Furthermore, following equation (19) in [16] the real part of the dispersion relation including the adiabatic contribution is given by,

    -Ωr2+Ωr1-Ωr2+Ωr+Ωr2ln1Ωr-1r2×e-rr20rs-2ρ0ε0Ωr3ln1Ωr-1+Ωr2+12Ωr+13×e-rr2q1r2+r2+q00rs+14ε02p0dr¯ε2dPh||dr¯=0, (12)

    where Ωr=ωr/v0/R0, ωr is the real part of ω. The last term on the left-hand side of the equation (12) represents the adiabatic contribution. We assume a polynomial q profile, q=q0+q1r2, and the energetic ion radial profile Ph||=p0exp-r¯/r2. For PBX parameters, B=0.84T, R0=1.3m, a=0.38m, ϵ0=25.142keV, ni=1.7×1019m-3, q=0.8+1.385r2, r=0.2a. We find from equation (12) that Ωr is equal to 0.843. As expected, the result is close to that of the previous study [16], because the adiabatic contribution effects on fishbone instability in this case are small. For adiabatic contribution effects on the fishbone instability, we will provide more detail below.

    The previous version of the dwk++ code reported in [16], which has already been verified by comparison with analytical results and M3D-K results for ignoring the adiabatic contribution [16], is used to calculate δWhk and solves for fishbone dispersion relation in tokamak plasmas. Considering that the mode is marginally unstable in the present work, we therefore take a small growth rate (Ωi=ωi/v0/R0=0.005, where ωi is imaginary part of ω) to treat the singularity nωϕ+pωb-ω=0 of equation (4). Here, we have extended the model of the code to include the adiabatic contribution. In the following section, with and without the FOW effects the dwk++ results are compared with the analytical results for the simplified slowing-down distribution function to verify the modified code, and then we analyze the energetic ion parameter effects on the mode instability by using the code.

    The nonadiabatic contribution of the code has been verified. Therefore, we only need to validate the newly added adiabatic contribution. It is clear that without the FOW effects, i.e. ρd=0, the code verification is easy for the analytical form equation (10). Based on operating parameters given in the previous section, we set ϵc=0.01ϵ0, Λ0=0.01, Λ=0.02 to be small in equation (2) for approaching the simplified slowing-down distribution function, and ξ0=0.01a, while the 'inner' layer width and FOW effects are ignored. Figure 1 plots the adiabatic contribution of energetic ions δWhf versus the radial profile width r, in which the analytical results from equation (9) and dwk++ numerical results are shown for the different values of the finite orbit width ρd. From figure 1(a), without the FOW effects (ρd=0), it can clearly be observed that the analytical results are in good agreement with the numerical results. Since the expression of the finite orbit width ρd given in section 2 is complex, it is difficult to solve analytically equation (11) for the code verification with the FOW effects. Here, we choose the simplest way where we set the finite orbit width ρd as a small constant to reduce higher-order term effects on δWhf, which have been ignored during derivation of equation (11). With ρd=constant, we can rewrite equation (7) as,

    δFhf=-ξ0Hrs-r¯exp-iθ1-ρdcosθq'q+ρdr¯cosθFhr¯r¯. (13)
    Figure  1.  Adiabatic contribution of energetic ions δWhf calculated by equation (9) (analytical results) and dwk++ (dwk++ results), respectively, versus radial profile width r for (a) ρd=0, (b) ρd=0.0142a and (c) ρd=0.0453a by setting ϵc=0.01ϵ0, Λ0=0.01, Λ=0.02.

    The corresponding δWhfOρdr¯ is then given by,

    δWhfOρdr¯=π2ξ02dr¯ρddPh||dr¯-π2ξ02r¯dr¯ρdq'qdPh||dr¯. (14)

    Next, we set the 'inner' layer width rs=0.001a to be small for the amplitude of displacement to approach the Heaviside step function Hx. Then, we compare the numerical results with those from equation (14) with the FOW effects (i.e. the second term of equation (9)), which are presented in figures 1(b) and (c). It can be seen that the numerical and analytical results are in good agreement for ρd=0.0142a. The small difference comes mainly from the higher-order term, which is not included in equation (14). When we set a larger ρd=0.0453a, a greater effect of the higher-order term can be clearly seen from figure 1(c). Of course, if ρd continues to increase, then the analytical results will be seriously inconsistent with the numerical results.

    It can be seen from equations (10) and (11) that the adiabatic contribution of energetic ions δWhf is related to the radial gradient, second derivative and radial integral of the distribution inside the q=1 surface. Obviously, the radial profile of the equilibrium distribution can affect the fishbone instability significantly. Figure 2 plots the dependence of the fishbone mode frequency Ωr and the critical beam ion beta βc (which is the beam ion beta threshold for instability) on the radial profile width r with and without the adiabatic contribution at parameters set: ϵ0=2.142keV, Λ0=0.1, Λ=0.1, ϵc=0.36ϵ0. Figure 2(b) shows that with the adiabatic contribution the critical beam ion beta βc is larger than that without the adiabatic contribution, which indicates that the fishbone becomes more stable, while figure 2(a) shows that Ωr decreases, especially for larger values of r. This is because when the adiabatic contribution is included, the total potential energy decreases. As shown in figure 3, it can be seen that with the adiabatic contribution the absolute value of the total potential energy δW is smaller than that without the adiabatic contribution. Furthermore, the mode frequency, which is the solution of realδWhk+realδWhf=0, is sensitive to the ratio of the driving and damping contribution from equation (4) [16] and the adiabatic contribution. For off-axis NBI heating resulting in the energetic ion pressure peak not being at the axis, for example, r0=0.05a or 0.1a, from figure 2(b) it can be clearly seen that with the adiabatic contribution the off-axis NBI heating can increase the critical beam ion beta βc, especially for larger values of r.

    Figure  2.  (a) Fishbone mode frequency Ωr, (b) critical beam ion beta βc versus radial profile width r for different peaked positions, with and without adiabatic contribution (solid line and dashed line).
    Figure  3.  Total potential energy δW versus radial profile width r for r0=0.05a, with and without adiabatic contribution (solid line and dashed line).

    Critical energy is a very important parameter in the slowing-down distribution function, which affects the mode stability significantly [16, 22]. Figure 4 plots the mode frequency Ωr and critical beam ion beta βc as a function of the critical energy ϵc with r0=0.05a, r=0.2a, and the other parameters are the same as in section 4.2. It is clear from figure 4(b) that the adiabatic contribution has a significant stabilizing effect on the mode for small values of ϵc while it makes Ωr decrease in figure 4(a). This can be understood by the fact that the change in magnitude ϵc has a direct effect on the equilibrium distribution function. The adiabatic contribution leads to an increase in the total potential energy, which makes the fishbone become more stable, especially for small values of ϵc.

    Figure  4.  (a) Fishbone mode frequency Ωr, (b) critical beam ion beta βc versus critical energy ϵc with and without adiabatic contribution (solid line and dashed line).

    We have assumed the pitch parameter to be zero (Λ0=0) at the equilibrium distribution peak in the previous theoretical analysis, but it is not realistic to have a pitch parameter distribution in a small range in experiments. Figure 5 plots the dependence of the fishbone mode frequency Ωr and the critical beam ion beta βc on Λ0 at parameter set: ϵc=0.36ϵ0. From figure 5(b), it can be observed that the adiabatic contribution has a weak stabilizing effect on the mode, i.e. the critical beam ion beta βc increases slightly compared to that without the adiabatic contribution, and the mode frequency decreases slightly in figure 5(a). This is because the adiabatic contribution represents a non-resonant interaction, i.e. the adiabatic contribution has a weak dependence on the parameter—pitch parameter Λ0, which relates to the particle parallel velocity determining the passing particles' transit frequency.

    Figure  5.  (a) Fishbone mode frequency Ωr, (b) critical beam ion beta βc versus pitch parameter Λ0 with and without adiabatic contribution (solid line and dashed line).

    The theory [10, 13] shows that the fishbone is an internal kink mode, which is destabilized by energetic particles. It is clear that the 'inner' layer width centered around the q=1 surface is important for the passing particles that have a finite drift orbit width. From equation (11) it can be seen that the adiabatic contribution is related to the finite orbit width ρd. Next, we focus on the adiabatic contribution effect on the fishbone instability with the FOW effect by setting the 'inner' layer width rs=0.02a. The FOW effect on the fishbone instability has already been discussed in [16], to which interested readers can refer. According to the FOW ρdr,Λ,ϵ=qρ0/2ϵ/1-Λ/bΛ/b+21-Λ/b, it can be seen that the FOW ρd increases with the ion energy. Therefore, here we choose parameter ϵ0 to represent the FOW ρd. Figure 6 plots the fishbone mode frequency Ωr and the critical beam ion beta βc as a function of the injection energy of the beam ions ϵ0. As shown in figure 6, with the FOW effect the adiabatic contribution has weak stabilization of fishbone instability and makes the mode frequency Ωr decrease slightly, especially for larger values of ϵ0. This is because when the ion energy is high, the nonadiabatic contribution dominates.

    Figure  6.  Adiabatic contribution effects on (a) fishbone mode frequency Ωr and (b) critical beam ion beta βc with finite orbit width effects.

    We have extended the model used in the dwk++ code to include the adiabatic contribution. The code is verified by comparison with both analytical and numerical results with and without FOW effects, respectively. The dependence of the mode frequency and stability on beam ion radial profile, critical energy, pitch parameter distribution and beam ion drift orbit width is studied with considering the adiabatic contribution. Overall, the numerical analysis indicates that the adiabatic contribution plays a positive role in stabilizing the fishbone mode and makes the mode frequency decrease. More specifically, the adiabatic contribution has a significant effect on the mode instability for a larger value of the radial profile width r or a larger deviation of the deposition location of injected neutral beam from the plasma axis r0. For a small magnitude of the critical energy ϵc, the adiabatic contribution effect on the mode instability is significant. Finally, the pitch parameter Λ0 and the FOW have a weak effect on the adiabatic contribution.

    This work is supported by National Natural Science Foundations of China (Nos. 11965018, 51977023 and 52077026), the Science and Technology Development Fund of Xinjiang Production and Construction of China (No. 2019BC009), the Fundamental Research Funds for the Central Universities of China (No. DUT21LK31), the Key Laboratory Fund of National Defense Science and Technology of China (No. 6142605200303), Science and Technology Plan Project of the Ninth Division of the Crops of China (No. 2021JS003).

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