
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 |
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),
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 [5–8] 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 [10–14]. Fishbone instabilities are internal kink modes with dominant poloidal and toroidal wave numbers
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,
δFhf=-ξrrˉrq(ˉr)q(r)∂Fh(ˉr)∂ˉr, | (1) |
where
Fh(ˉr,ϵ,Λ)=1Cf23/2ϵ3/2+ϵ3/2cerfc(ϵ-ϵ0∆ϵ)×exp[-(ˉr-r0∆r)2]exp[-(Λ-Λ0∆Λ)2]. | (2) |
In this expression,
δWhf=mh∫d3xd3vξ*⊥·κϵδFhf, | (3) |
where
δWhk=∫Jqdˉr∫dΛ∫ϵ3dϵ∂Fh∂ϵτb(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)=τ−1b∮dτG(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.
-iˉω+ωA4ω0(R0rs)2|aξ0|2βh,0Cp(δˉWhk+δˉWhf)=0, | (5) |
where
To obtain a clear expression of the dispersion relation, a simplified slowing-down distribution function [14] is employed:
Fh(ˉr,ϵ,Λ)=Ph√2πmhϵ01ϵ3/2δ(Λ)H(ϵ0-ϵ), | (6) |
where
δFhf=-ξ0H(rs-ˉr)exp(-iθ)×(1+(ρdˉr-∂ρd∂ˉr)cosθ)∂Fh(ˉr)∂ˉr. | (7) |
With the flux coordinates,
ξ*⊥·κ=-ξ0RH(rs-ˉr)[1-εcosθ+32εcosθ×exp(i2θ)-32ε(isinθexp(i2θ))]. | (8) |
Compared to
δWhf=δWhf(O(ρdˉr)0)+δWhf(O(ρdˉr)), | (9) |
where
δWhf(O(ρdˉr)0)=π2ξ20R0∫dˉrε2dPh|| | (10) |
(11) |
Here,
Furthermore, following equation (19) in [16] the real part of the dispersion relation including the adiabatic contribution is given by,
(12) |
where
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
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.
(13) |
The corresponding
(14) |
Next, we set the 'inner' layer width
It can be seen from equations (10) and (11) that the adiabatic contribution of energetic ions
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
We have assumed the pitch parameter to be zero (
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
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
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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