Monte Carlo Collision method for low temperature plasma simulation

Taccogna, F.

doi:10.1017/s0022377814000567

Cited by 21 publications

(11 citation statements)

References 25 publications

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“…Different bulk collisions are implemented using Test Particle and Direct Simulation Monte Carlo Collision techniques [30]. The list of relevant collisions included are reported in [31].…”

Section: Description and Assumptions Of Numerical Modelmentioning

confidence: 99%

PIC modeling of negative ion sources for fusion

Taccogna

Minelli

2017

New J. Phys.

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This work represents the first attempt to model the full-size ITER negative ion source prototype including expansion, extraction and part of the acceleration regions keeping the resolution fine enough to resolve every single aperture of the extraction grid. The model consists of a 2.5-dimensional Particle-in-Cell/Monte Carlo Collision representation of the plane perpendicular to the filter field lines. Both the magnetic filter and electron deflection fields have been included. A negative ion current density of = --j 500 A m H 2 produced by neutral conversion from the plasma grid is used as fixed parameter, while negative ions produced by electron dissociative attachment of vibrationally excited molecules and by ionic conversion on plasma grid are self-consistently simulated. Results show the non-ambipolar character of the transport in the expansion region driven by electron magnetic drifts in the plane perpendicular to the filter field. It induces a top-bottom asymmetry detected up to the extraction grid which in turn leads to a tilted positive ion flow hitting the plasma grid and a tilted negative ion flow emitted from the plasma grid. As a consequence, the plasma structure is not uniform around the single aperture: the meniscus assumes a form of asymmetric lobe and a deeper potential well is detected from one side of the aperture relative to the other side. Therefore, the surfaceproduced contribution to the negative ion extraction is not equally distributed between both the sides around the aperture but it come mainly from the lower side of the grid giving an asymmetrical current distribution in the single beamlet.

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“…Different bulk collisions are implemented using Test Particle and Direct Simulation Monte Carlo Collision techniques [30]. The list of relevant collisions included are reported in [31].…”

Section: Description and Assumptions Of Numerical Modelmentioning

confidence: 99%

PIC modeling of negative ion sources for fusion

Taccogna

Minelli

2017

New J. Phys.

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“…The initial velocity is sampled from a half-Maxwellian distribution along the z direction at a given injection temperature. (Taccogna 2015) procedures are used. In two-dimensional models, ion species actually taken into account are singly (xenon ground state to first level of ionization) and multiply charged ions (from ground state and stepwise ionization from lower level of ionized atoms).…”

Section: ____________________________________________________________mentioning

confidence: 99%

“…The typical PIC-MCC scheme has been presented in Sect 2.1 for ions. In fully kinetic PIC models of HTs (Taccogna et al 2007(Taccogna et al , 2008a, the same operations done for ions are also processed for electrons and the collisional module is tackled by the Monte Carlo Collision approach (Taccogna 2015). Knowing the charge density on the mesh nodes, the self-consistent electric field is calculated by solving the Poisson equation.…”

Section: ____________________________________________________________mentioning

confidence: 99%

“…Different 2D(r,z) axisymmetric models (Taccogna et al 2004a, 2005b, 2006b, Liu et al 2008, Matyash et al 2010, 2012, Kronhaus et al 2012, Quing et al 2014, Szabo et al 2014, Cho et al 2013, 2015 have been developed to simulate the channel discharge and part of the near-field plume region. Often, numerical tricks, such as smaller ion to electron mass ratio, larger vacuum permittivity and geometrical scaling (Taccogna et al 2005c), are used to alleviate the high computationally demanding constraints of fully kinetic PIC models in order to accelerate the simulation execution.…”

Section: Pic Axisymmetric Models: Axial Acceleration Mechanism and Iomentioning

confidence: 99%

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Latest progress in Hall thrusters plasma modelling

Taccogna

Garrigues

2019

Rev. Mod. Plasma Phys.

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In the last thirty years, numerical models have revealed different physical mechanisms involved in the Hall thruster functioning leading to a bridge between analytical prediction / empirical intuition and experiments. For this reason, modeling effort is continuously increasing in the domain of Hall Thrusters. Two basic approaches exist: one based on fluid/hybrid simulation where the distribution of electrons is assumed Maxwellian and the plasma inside the thruster, considered as quasineutral, is described with macroscopic quantities (density, velocity and energy); the second approach is based on kinetic description for charged particles where no approximation is made for the distribution of particles. Fluid or hybrid approaches offer the advantage of demanding low run times and computational resources. They are very useful to perform parametric studies but actually the anomalous phenomena responsible for electron transport across the magnetic field barrier have not been selfconsistently modeled. Kinetic approach is able to better capture phenomena originating on the Debye scale length like the lateral sheaths, ExB electron drift instability, important to explain the anomalous electron transport, but it requires very long run times. For this latter, the progress in computer science offers the advantage to describe conditions more and more close to the thruster operation. In this review, we will present the two approaches emphasizing on numerical schemes used with assumptions and approximations and on main results obtained. Future directions on the Hall thruster modeling will finally outlined.

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“…Due to the fact that electron thermalization and isotropization rates are quite low in HTs, kinetic approaches are more suitable to represent the important deviations of electron distribution functions from Maxwellian one. In particular, among the different kinetic schemes, the particle-based methodology 158,159 is a very promising tool due to its versatility, ease of implementation, high quality in reproducing detailed mechanisms, and good scalability with the number of processors used.…”

Section: Virtual Thrusters: Modeling Miniaturized Systemsmentioning

confidence: 99%

Space micropropulsion systems for Cubesats and small satellites: From proximate targets to furthermost frontiers

Levchenko

Bazaka

Ding

et al. 2018

Applied Physics Reviews

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264

104

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Rapid evolution of miniaturized, automatic, robotized, function-centered devices has redefined space technology, bringing closer the realization of most ambitious interplanetary missions and intense near-Earth space exploration. Small unmanned satellites and probes are now being launched in hundreds at a time, resurrecting a dream of satellite constellations, i.e., wide, all-covering networks of small satellites capable of forming universal multifunctional, intelligent platforms for global communication, navigation, ubiquitous data mining, Earth observation, and many other functions, which was once doomed by the extraordinary cost of such systems. The ingression of novel nanostructured materials provided a solid base that enabled the advancement of these affordable systems in aspects of power, instrumentation, and communication. However, absence of efficient and reliable thrust systems with the capacity to support precise maneuvering of small satellites and CubeSats over long periods of deployment remains a real stumbling block both for the deployment of large satellite systems and for further exploration of deep space using a new generation of spacecraft. The last few years have seen tremendous global efforts to develop various miniaturized space thrusters, with great success stories. Yet, there are critical challenges that still face the space technology. These have been outlined at an inaugural International Workshop on Micropropulsion and Cubesats, MPCS-2017, a joint effort between Plasma Sources and Application Centre/Space Propulsion Centre (Singapore) and the Micropropulsion and Nanotechnology Lab, the G. Washington University (USA) devoted to miniaturized space propulsion systems, and hosted by CNR-Nanotec—P.Las.M.I. lab in Bari, Italy. This focused review aims to highlight the most promising developments reported at MPCS-2017 by leading world-reputed experts in miniaturized space propulsion systems. Recent advances in several major types of small thrusters including Hall thrusters, ion engines, helicon, and vacuum arc devices are presented, and trends and perspectives are outlined.

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Monte Carlo Collision method for low temperature plasma simulation

Cited by 21 publications

References 25 publications

PIC modeling of negative ion sources for fusion

PIC modeling of negative ion sources for fusion

Latest progress in Hall thrusters plasma modelling

Space micropropulsion systems for Cubesats and small satellites: From proximate targets to furthermost frontiers

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