Empirical approximation for the ion current to the surface of a dust grain in a weakly ionized gas-discharge plasma

Ваулина, О. С.; Repin, A. Yu.; Петров, О. Ф.

doi:10.1134/s1063780x06060055

Cited by 13 publications

(3 citation statements)

References 12 publications

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“…Thus, neither OML nor ABR models are able to describe the dependence of the particle floating potential on plasma collisionality. At the same time, over the last several years there have been a number of investigations, including theories, experiments, and simulations, which clearly demonstrated that the largest variations in α (about one order of magnitude in some cases) can be associated with the plasma collisionality level [61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76]. The qualitative picture of the variation of the normalized potential α with plasma collisionality emerging from these studies is sketched in Fig.…”

Section: Particle Chargingmentioning

confidence: 99%

Basic Processes in Complex (Dusty) Plasmas: Charging, Interactions, and Ion Drag Force

Khrapak

Morfill

2009

Contrib. Plasma Phys.

155

131

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Key words Complex (dusty) plasmas, particle charging, interparticle interactions, ion drag force. PACS 52.27.Lw Recent developments in the theoretical investigations of complex (dusty) plasmas -low temperature plasmas containing charged microparticles -are reviewed. The focus is mostly on important basic problems of plasmaparticle interactions, including particle charging, electric potential distribution around the particle, interparticle interactions, and the ion drag force. In particular, the importance of plasma-neutral collisions (especially ionneutral) is emphasized.

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Section: Particle Chargingmentioning

confidence: 99%

Basic Processes in Complex (Dusty) Plasmas: Charging, Interactions, and Ion Drag Force

Khrapak

Morfill

2009

Contrib. Plasma Phys.

155

131

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“…Note, that there are of course other possibilities to construct an interpolation formula for the ion flux (see, e.g., ref. [9,[32][33][34]).…”

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confidence: 99%

Grain charging in an intermediately collisional plasma

Khrapak¹,

Tolias²,

Ratynskaia³

et al. 2012

EPL

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The charges of µm-size particles in the quasineutral bulk plasma of a dc discharge are determined experimentally in a pressure range between 100 and 500 Pa, spanning the transition between the weakly collisional and highly collisional (hydrodynamic) regimes, where the ion mean free path drops below the plasma screening length. The charge is determined using the force balance condition from the measured particle drift velocities in stable particle flows. A simple interpolation formula for the ion flux to the grain in the transitional regime is shown to fit quite well the experimental results.

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“…Equations ( 3) and ( 4) present the vacuum/low-pressure and high-pressure limit of β (p, i), respectively. At intermediate pressures ( ∼ 10 2 − 10 5 Pa ) , LD has been previously exploited to predict the steady-state mean charge on grains [65,92,93] and develop β (p, i) models for aerosols and dusty plasmas [56-58, 64, 87]. As stated before, our first objective is to test the model for β (p, i) developed by Chahl and Gopalakrishnan [64] against PK-4 grain charge measurements [38][39][40].…”

Section: Scaling Analysis Of Particle Chargingmentioning

confidence: 99%

Modeling nanoparticle charge distribution in the afterglow of non-thermal plasmas and comparison with measurements

Suresh¹,

Li²,

Felipe³

et al. 2021

J. Phys. D: Appl. Phys.

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Particle charging in the afterglows of non-thermal plasmas typically take place in a non-neutral space charge environment. We model the same by incorporating particle–ion collision rate constant models, developed in prior work by analyzing particle–ion trajectories calculated using Langevin Dynamics (LD) simulations, into species transport equations for ions, electrons and charged particles in the afterglow. A scaling analysis of particle charging and additional LD calculations of the particle–ion collision rate constant are presented to extend the range of applicability to ion electrostatic to thermal energy ratios of 300 and diffusive Knudsen number (that scales inversely with gas pressure) up to 2000. The developed collision rate constant models are first validated by comparing predictions of particle charge against measured values in a stationary, non-thermal DC plasma from past PK-4 campaigns published in Ratynskaia et al (2004 Phys. Rev. Lett. 93 085001) and Khrapak et al (2005 Phys. Rev. E 72 016406). The comparisons reveal excellent agreement within ± 35 % for particles of radius 0.6 , 1.0 , 1.3 μ m in the gas pressure range of ∼ 20 − 150 Pa . The experiments to probe particle charge distributions by Sharma et al (2020 J. Physics D: Appl. Phys. 53 245204) are modeled using the validated particle–ion collision rate constant models and the calculated charge fractions are compared with measurements. The comparisons reveal that the ion/electron concentration and gas temperature in the afterglow critically influence the particle charge and the predictions are generally in qualitative agreement with the measurements. Along with critical assessment of the modeling assumptions, several recommendations are presented for future experimental design to probe charging in afterglows.

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Empirical approximation for the ion current to the surface of a dust grain in a weakly ionized gas-discharge plasma

Cited by 13 publications

References 12 publications

Basic Processes in Complex (Dusty) Plasmas: Charging, Interactions, and Ion Drag Force

Basic Processes in Complex (Dusty) Plasmas: Charging, Interactions, and Ion Drag Force

Grain charging in an intermediately collisional plasma

Modeling nanoparticle charge distribution in the afterglow of non-thermal plasmas and comparison with measurements

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