PDE simulations with adaptive grid refinement for negative streamers in nitrogen Carolynne Montijn Work done in cooperation with: U. Ebert W. Hundsdorfer.

Slides:



Advertisements
Similar presentations
General Characteristics of Gas Detectors
Advertisements

Plasma Medicine in Vorpal Tech-X Workshop / ICOPS 2012, Edinburgh, UK 8-12 July, 2012 Alexandre Likhanskii Tech-X Corporation.
Christopher Batty and Robert Bridson University of British Columbia
Chapter 8 Elliptic Equation.
A New Design Tool for Nanoplasmonic Solar Cells using 3D Full Wave Optical Simulation with 1D Device Transport Models Liming Ji* and Vasundara V. Varadan.
Laboratory experiments on positive streamer properties S. Nijdam 1, E.M. van Veldhuizen 1, U. Ebert 1,2 1 ) Eindhoven University of Technology, Department.
PIII for Hydrogen Storage
PHY 042: Electricity and Magnetism Laplace’s equation Prof. Hugo Beauchemin 1.
LEADER, LIGHTNING, LIGHTNING PROTECTION LEADER, LIGHTNING, LIGHTNING PROTECTION E. Bazelyan and Yu. Raizer Solved and unsolved problems.
Density gradient at the ends of plasma cell The goal: assess different techniques for optimization density gradient at the ends of plasma cell.
Hybrid Simulation of Ion-Cyclotron Turbulence Induced by Artificial Plasma Cloud in the Magnetosphere W. Scales, J. Wang, C. Chang Center for Space Science.
Chamber Dynamic Response Modeling Zoran Dragojlovic.
The multiscale dynamics of sparks and lightning Ute Ebert CWI Amsterdam and TU Eindhoven TexPoint fonts used in EMF. Read.
STREAMER DYNAMICS IN A MEDIA CONTAINING DUST PARTICLES* Natalia Yu. Babaeva and Mark J. Kushner Iowa State University Department of Electrical and Computer.
Brookhaven Science Associates U.S. Department of Energy MUTAC Review March 16-17, 2006, FNAL, Batavia, IL Target Simulations Roman Samulyak Computational.
STREAMER INITIATION AND PROPAGATION IN WATER WITH THE ASSISTANCE OF BUBBLES AND ELECTRIC FIELD INITIATED RAREFACTION Wei Tian a) and Mark J. Kushner b)
Plasma Kinetics around a Dust Grain in an Ion Flow N F Cramer and S V Vladimirov, School of Physics, University of Sydney, S A Maiorov, General Physics.
Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras Advanced Transport Phenomena Module 5 Lecture 19 Energy Transport: Steady-State Heat.
Simulation of streamer propagation using a PIC-MCC code. Application to Sprite discharges. Olivier Chanrion and Torsten Neubert Danish National Space Center.
1 Ion Optics Simulations What it is. How it’s useful. The SIMION ion optics software. –How it works. –Limitations and cautions –Demonstrations and examples.
F.M.H. Cheung School of Physics, University of Sydney, NSW 2006, Australia.
Jean-Charles Matéo-Vélez, Frédéric Thivet, Pierre Degond * ONERA - Centre de Toulouse * CNRS - Mathématiques pour l'Industrie et la Physique, Toulouse.
Kinetic Effects on the Linear and Nonlinear Stability Properties of Field- Reversed Configurations E. V. Belova PPPL 2003 APS DPP Meeting, October 2003.
Large-amplitude oscillations in a Townsend discharge in low- current limit Vladimir Khudik, Alex Shvydky (Plasma Dynamics Corp., MI) Abstract We have developed.
Plane sudden expansion flows of viscoelastic liquids: effect of expansion ratio Robert J Poole Department of Engineering, University of Liverpool, UK Manuel.
Dynamics of the breakdown of the discharge gap at high overvoltage A. Shvydky (University of Toledo, OH), V.N. Khudik (Plasma Dynamics Corp., OH), V.P.
Presented by: Katayoun Doroud World Laboratory fellow under Supervision of: Crispin Williams ALICE TOF General meeting, CERN – Build 29, 9 December 2009.
Physics Modern Lab1 Electromagnetic interactions Energy loss due to collisions –An important fact: electron mass = 511 keV /c2, proton mass = 940.
A conservative FE-discretisation of the Navier-Stokes equation JASS 2005, St. Petersburg Thomas Satzger.
The Geometry of Biomolecular Solvation 2. Electrostatics Patrice Koehl Computer Science and Genome Center
A Comparison between Electroluminescence Models and Experimental Results D. H. Mills 1*, F. Baudoin 2, G. Chen 1, P. L. Lewin 1 1 University of Southampton,
Numerical Schemes for Streamer Discharges at Atmospheric Pressure
IRPSS: A Green’s Function Approach to Modeling Photoinjectors Mark Hess Indiana University Cyclotron Facility & Physics Department *Supported by NSF and.
Neutrino Factory / Muon Collider Target Meeting Numerical Simulations for Jet-Proton Interaction Wurigen Bo, Roman Samulyak Department of Applied Mathematics.
Materials Process Design and Control Laboratory MULTISCALE MODELING OF ALLOY SOLIDIFICATION LIJIAN TAN NICHOLAS ZABARAS Date: 24 July 2007 Sibley School.
Modeling of Materials Processes using Dimensional Analysis and Asymptotic Considerations Patricio Mendez, Tom Eagar Welding and Joining Group Massachusetts.
The Propagation of Electromagnetic Wave in Atmospheric Pressure Plasma Zhonghe Jiang XiWei Hu Shu Zhang Minghai Liu Huazhong University of Science & Technology.
1 EPIC SIMULATIONS V.S. Morozov, Y.S. Derbenev Thomas Jefferson National Accelerator Facility A. Afanasev Hampton University R.P. Johnson Muons, Inc. Operated.
The propagation of a microwave in an atmospheric pressure plasma layer: 1 and 2 dimensional numerical solutions Conference on Computation Physics-2006.
Mathematical Background
Two problems with gas discharges 1.Anomalous skin depth in ICPs 2.Electron diffusion across magnetic fields Problem 1: Density does not peak near the.
Saffman-Taylor streamer discharges
Double diffusive mixing (thermohaline convection) 1. Semiconvection ( ⇋ diffusive convection) 2. saltfingering ( ⇋ thermohaline mixing) coincidences make.
Numerical Simulation of Dendritic Solidification
Charged Particles Discovery of Electron Electron beams in Fields Electron Tubes Measurement of the Charge of the Electron.
D. Tskhakaya, LH SOL Generated Fast Particles Meeting IPP.CR, Prague December 16-17, 2004 Quasi-PIC modelling of electron acceleration in front of the.
M. Omang, S. Børve, and J. Trulsen
GWENAEL FUBIANI L’OASIS GROUP, LBNL 6D Space charge estimates for dense electron bunches in vacuum W.P. LEEMANS, E. ESAREY, B.A. SHADWICK, J. QIANG, G.
Streamers, sprites, leaders, lightning: from micro- to macroscales Workshop, Oct. 8-12, 2007, Lorentz Centre Organizers: Ute Ebert (CWI Amsterdam, TU Eindhoven),
Particle and fluid models for streamers: comparison and spatial coupling Li Chao 1 in cooperation with:, U. Ebert 1,2, W. Hundsdorfer 1, W.J.M. Brok 2.
Modelling and Simulation of Passive Optical Devices João Geraldo P. T. dos Reis and Henrique J. A. da Silva Introduction Integrated Optics is a field of.
An Estimation of Critical Electron Density at Just Starting Breakdown in Gases Mase. H Professor Emeritus of Ibaraki University.
Physics 212 Lecture 4, Slide 1 Physics 212 Lecture 4 Today's Concepts: Conductors + Using Gauss’ Law Applied to Determine E field in cases of high symmetry.
Optimization of planar pixel detector. T. Habermann Planar pixel detectors L W H ground U.
Particle and fluid models for streamers: comparison and spatial coupling Li Chao 1 in cooperation with: W.J.M. Brok 2, U. Ebert 1,2, W. Hundsdorfer 1,
Initial conditions for N-body simulations Hans A. Winther ITA, University of Oslo.
Investigation of supersonic and hypersonic laminar shock/boundary-layer interactions R.O. Bura, Y.F.Yao, G.T. Roberts and N.D. Sandham School of Engineering.
Simulation of the acoustics of coupled rooms by numerical resolution of a diffusion equation V. Valeau a, J. Picaut b, A. Sakout a, A. Billon a a LEPTAB,
Şerban Udrea, Peter Forck, GSI
Unstructured Meshing Tools for Fusion Plasma Simulations
Centrum Wiskunde & Informatica, Amsterdam
Nonequilibrium statistical mechanics of electrons in a diode
Understanding streamers using density models with mesh refinement
Introduction Motivation Objective
Numerical Simulation of Dendritic Solidification
NEWS ABOUT COLLIMATOR IMPEDANCE
PHY 752 Solid State Physics Inhomogeneous semiconductors
D. V. Rose, T. C. Genoni, and D. R. Welch Mission Research Corp.
What are Multiscale Methods?
Presentation transcript:

PDE simulations with adaptive grid refinement for negative streamers in nitrogen Carolynne Montijn Work done in cooperation with: U. Ebert W. Hundsdorfer J. Wackers

Outline The minimal streamer model Numerical implementation: local uniform grid refinements Streamer propagation: –Avalanche phase: a diffusion based correction on the avalanche to streamer transition –Stable streamer regime: comparison with planar front theory –Branching streamers: influence of the electron inflow and the applied field Conclusions

The minimal streamer model (N 2, -): fluid approximation Poisson equation for the electric field 3-dimensions with radial symmetry Characteristic length, time and density scales depend on pressure, e.g. in N2: Fluid approximation for the particle densities, in dimensionless units:  = 0  = 0 or  z = 0  =  0 = |E 0 |/L z  z = 0  r =0  r = 0 r = L r E0E0 z = L z r = 0 z = 0  = n e / n 0  = n + / n 0

Streamers in nature Low pressure, large systems Streamers in the lab High pressure, small systems 4cm [T.M.P Briels & E.M. v. Veldhuizen, TUE] [H.C. Stenbaek-Nielsen, Alaska Fairbanks]

The minimal streamer model: typical solution r (mm) z (mm) electrons (cm -3 ) net charge (cm -3 ) field (kV/cm) ions (cm -3 ) High field, E 0 =0.5

The minimal streamer model: numerical challenge Multiscale character of the problem Poisson eq. on whole domain, particles only on part of the domain, sharp ionization front. z r electrons r z net charge Steep gradients, large system size – high accuracy needed, in particular, for instabilities, – limitation of computational memory.

The minimal streamer model: influence of the gridsize Electron density at T=250, E 0 =0.5 Electron density, net charge density and electric field strength on axis in the streamer head High resolution needed for the front velocity to be well captured

Numerical method decoupling of the domains Whole computational domain

Numerical method decoupling of the domains Whole computational domain Grids for continuity equations (σ, ρ and E) Grids for Poisson equation (  ) Decoupling of the computational grids σ, ρ E  x=4  x=2  x=1  x=1/2  x=1/4  x=1/8

Numerical method : performance of the code Grids for Poisson equation are refined  considerable gain in memory Number of gridpoints for the continuity equations E 0 =0.5,  x=0.25 E 0 =0.15,  x=2 In high fields, limitations come mainly from the Poisson equation In low fields, the gain in memory is considerable

Avalanche: – field approximately constant, – no space charge effects, – Gaussian electron density distribution propagates with constant velocity and has a diffusive widening The different propagation phases (E 0 =0.5)

Streamer phase: – appearance of a charged layer with width w and radius r e, – electric field enhanced ahead of streamer, – interior of the streamer shielded from external field The different propagation phases (E 0 =0.5)

Branching streamer: – the front becomes flatter, – approaching the limit of a planar front, – which is known to be unstable (Arrayás e.a., 2004) The different propagation phases (E 0 =0.5)

The avalanche phase Initial phase of the propagation of a free electron under influence of a sufficiently high electric field. Characterised by the absence of space charge effects Transition to streamer phase when space charges become important Meek’s criterion for avalanche to streamer transition does not include diffusion

The avalanche phase: a diffusion based correction on the avalanche to streamer transition No space charge effects:  approximately constant electric field  linearization of the continuity equations: with and The electron density can be computed analytically ! A good analytical approximation for the ion densities has been found  Criterion for the emergence of a streamer taking into account the diffusion [Raizer,1991]

Criterion for the transition from avalanche to streamer phase: f(E 0, ) T trans =g(E 0,D,  0 ) Compare to Meek’s criterion: f(E 0, )T trans  20 The avalanche phase: a diffusion based correction on the avalanche to streamer transition

The avalanche phase: influence of the boundary condition with electron inflow without electron inflow Using Neumann boundary conditions at the cathode leads to a fast transition to the streamer regime E 0 =0.15, f(E 0 )=1.9·10 -4 E 0 =0.5, f(E 0 )=0.07

Stable streamer propagation: front velocity Planar front velocity: v num vfvf E max E 0 =0.15 E 0 =0.5

Stable streamer propagation: width and radius of the space charge layer w num w1w1 E 0 =0.15E 0 =0.5 Numerical results can be fitted with, in agreement with w rere

Stable streamer propagation: maximum space charge field E max,num E planar E 0 =0.15 E 0 =0.5

Branching streamers : Influence of the electron inflow, E 0 =0.5 Electrons Electric field small init. cond. wide init. cond. Without inflow, t=450 With inflow, t=300 With inflow, t=250

Branching streamers : Influence of the electron inflow, E 0 =0.15 Electrons Electric field small init. cond. with inflow, t=33000 wide init. cond. w ith inflow, t=31500 Electrons Electric field

Branching time as a function of gridsize

The grid refinements give a powerful tool for the streamer simulations –Gain in computational time –Gain in computational memory  Large streamers in low fields  High resolution in high fields (needed to capture the front velocity) Diffusion based correction for the avalanche to streamer transition Streamer propagation depends on applied field and also on electron inflow Simulations agree with results for planar fronts and support reduced model for fully developed streamer [Meulenbroek, Rocco, Ebert] (This analytical model also exhibits branching) Future: –more detailed investigation of the propagation mechanism, especially the instabilities –Couple to Monte-Carlo code (Li) Negative streamers in N 2 : conclusions