Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session CP11: Poster Session II: Basic Plasma Physics; Boundary, PMI, Proto-MPEX; International Tokamaks; Turbulence and Transport; Other Configurations; Z-pinch, Dense Plasma Focus and MagLIF (2:00pm-5:00pm)
Monday, November 5, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.CP11.92
Abstract: CP11.00092 : Introduction of kinetic effects to fluid simulation by a particle model
Presenter:
Akito Tanaka
(Graduate School of Engineering, Osaka University)
Authors:
Akito Tanaka
(Graduate School of Engineering, Osaka University)
Kenzo Ibano
(Graduate School of Engineering, Osaka University)
Mayuko Obiki
(Graduate School of Engineering, Osaka University)
Tomonori Takizuka
(Graduate School of Engineering, Osaka University)
Heun Tae Lee
(Graduate School of Engineering, Osaka University)
Yoshio Ueda
(Graduate School of Engineering, Osaka University)
Nobuhiko Hayashi
(National Institutes for Quantum and Radiological Science and Technology)
Kazuo Hoshino
(Faculty of Science and Technology, Keio University)
Fluid simulations are mainly used for SOL/divertor plasma modeling, but there are some discrepancies between simulated and experimental results. It is thought that one of the reasons is that fluid simulations cannot sufficiently treat kinetic effects. Particularly, in edge plasma when collisionality is weak, the velocity distributions of electrons and ions are distorted from Maxwellian distribution, and kinetic effects become important. Then, in this study, we have tried to introduce kinetic effects to fluid simulation by combining with particle simulation. The particle simulation can correctly treat kinetic effects in the non-Maxwellian region, but it is difficult to apply the particle simulation to a large system and in a long time scale due to its high cost. In order to overcome this obstacle, we do not calculate the self-consistent electric field but just adopt the sheath boundary condition model. Plasma parameters obtained by a fluid simulation are converted into velocity distributions for electrons and ions, and these data are taken as initial values of particles. By calculating the trajectories considering collision for a short time scale, we have successfully introduced the particle simulation results, which correctly consider kinetic effects, into the fluid simulation.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.CP11.92
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