Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-26T20:52:00.622Z Has data issue: false hasContentIssue false
  • English
  • Français

Electrostatic particle-in-cell simulation of heat flux mitigation using magnetic fields

Part of: Solved and Unsolved problems in Plasma Physics

Published online by Cambridge University Press:  26 September 2016

Karl Felix Lüskow ,
S. Kemnitz ,
G. Bandelow ,
J. Duras ,
D. Kahnfeld ,
P. Matthias ,
R. Schneider  and
D. Konigorski
Karl Felix Lüskow*
Affiliation:
Institute for Physics, Ernst-Moritz-Arndt University of Greifswald, Felix-Hausdorff-Str. 6, D-17489 Greifswald, Germany
S. Kemnitz
Affiliation:
Institute for Physics, Ernst-Moritz-Arndt University of Greifswald, Felix-Hausdorff-Str. 6, D-17489 Greifswald, Germany Institute of Computer Science, University of Rostock, Albert-Einstein-Str. 22, D-18059 Rostock, Germany
G. Bandelow
Affiliation:
Institute for Physics, Ernst-Moritz-Arndt University of Greifswald, Felix-Hausdorff-Str. 6, D-17489 Greifswald, Germany
J. Duras
Affiliation:
Institute for Physics, Ernst-Moritz-Arndt University of Greifswald, Felix-Hausdorff-Str. 6, D-17489 Greifswald, Germany Department of Applied Mathematics, Physics and Humanities, Nürnberger Institute of Technology, Keßlerplatz 12, D-90489 Nürnberg, Germany
D. Kahnfeld
Affiliation:
Institute for Physics, Ernst-Moritz-Arndt University of Greifswald, Felix-Hausdorff-Str. 6, D-17489 Greifswald, Germany
P. Matthias
Affiliation:
Institute for Physics, Ernst-Moritz-Arndt University of Greifswald, Felix-Hausdorff-Str. 6, D-17489 Greifswald, Germany
R. Schneider
Affiliation:
Institute for Physics, Ernst-Moritz-Arndt University of Greifswald, Felix-Hausdorff-Str. 6, D-17489 Greifswald, Germany
D. Konigorski
Affiliation:
Airbus Operations GmbH, Emerging Technologies and Concepts, Kreetslag 10, D-21129 Hamburg, Germany
*
†Email address for correspondence: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The particle-in-cell (PIC) method was used to simulate heat flux mitigation experiments with partially ionised argon. The experiments demonstrate the possibility of reducing heat flux towards a target using magnetic fields. Modelling using the PIC method is able to reproduce the heat flux mitigation qualitatively. This is driven by modified electron transport. Electrons are magnetised and react directly to the external magnetic field. In addition, an increase of radial turbulent transport is also needed to explain the experimental observations in the model. Close to the target an increase of electron density is created. Due to quasi-neutrality, ions follow the electrons. Charge exchange collisions couple the dynamics of the neutrals to the ions and reduce the flow velocity of neutrals by radial momentum transport and subsequent losses. By this, the dominant heat-transport channel by neutrals gets reduced and a reduction of the heat deposition, similar to the experiment, is observed. Using the simulation a diagnostic module for optical emission is developed and its results are compared with spectroscopic measurements and photos from the experiment. The results of this study are in good agreement with the experiment. Experimental observations such as a shrank bright emission region close to the nozzle exit, an additional emission in front of the target and an overall change in colour to red are reproduced by the simulation.

Keywords

magnetized plasmasplasma dynamicsplasma simulation
Type
Research Article
Information
Journal of Plasma Physics , Volume 82 , Issue 5 , October 2016 , 595820502
Copyright
© Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Behringer, K. & Fantz, U. 1994 Spectroscopic diagnostics of glow discharge plasmas with non-maxwellian electron energy distributions. J. Phys. D 27 (10), 2128–2135.CrossRefGoogle Scholar
Birdsall, C. K. & Langdon, A. B. 2004 Plasma Physics via Computer Simulation. CRC Press.Google Scholar
Blosser, M. L.1996 Advanced metallic thermal protection systems for reusable launch vehicles. NASA Technical Memorandum 110296, October 1996.Google Scholar
Bohm, D., Burhop, E. H. S., Massey, H. S. W. & Williams, R. W. 1949 The characteristics of electrical discharges in magnetic fields. In National Nuclear Energy Series: Electromagnetic Separation Project 6, McGraw-Hill.Google Scholar
Bormann, G., Brosens, F. & De Schutter, E. 2001 Modeling molecular diffusion. In Computational Methods in Molecular and Cellular Biology: from Genotype to Phenotype, pp. 189–224. MIT Press.Google Scholar
Ellison, C. L., Raitses, Y. & Fisch, N. J. 2012 Cross-field electron transport induced by a rotating spoke in a cylindrical hall thruster. Phys. Plasmas 19 (1), 013503.CrossRefGoogle Scholar
Godyak, V. A. & Piejak, R. B. 1990 Abnormally low electron energy and heating-mode transition in a low-pressure argon rf discharge at 13.56 mHz. Phys. Rev. Lett. 65 (8), 996.CrossRefGoogle Scholar
Gülhan, A., Esser, B., Koch, U., Siebe, F., Riehmer, J., Giordano, D. & Konigorski, D. 2009 Experimental verification of heat-flux mitigation by electromagnetic fields in partially-ionized-argon flows. J. Spacecr. Rockets 46 (2), 274–283.CrossRefGoogle Scholar
Janesick, J. R. 2001 Scientific Charge-coupled Devices, vol. 117. SPIE Press.CrossRefGoogle Scholar
Katsurayama, H., Kawamura, M., Matsuda, A. & Abe, T. 2008 Kinetic and continuum simulations of electromagnetic control of a simulated reentry flow. J. Spacecr. Rockets 45 (2), 248–254.CrossRefGoogle Scholar
Kranc, S., Cambel, A. B. & Yuen, M. C. 1969 Experimental Investigation of Magnetoaerodynamic Flow Around Blunt Bodies, vol. 1393. National Aeronautics and Space Administration.Google Scholar
Lüskow, K. F., Kemnitz, S., Bandelow, J., Duras, J., Kahnfeld, D., Schneider, R. & Konigorski, D. 2016 Particle-in-cell simulation concerning heat-flux mitigation using electromagnetic fields. Plasma Phys. Technol. (submitted).Google Scholar
Meeker, D. 2010 Finite element method magnetics. FEMM 4, 32.Google Scholar
O’Mullane, M.2008. Photon emissivities for ArI and ArII. ADAS Communications: ADAS C(08)-01.Google Scholar
Otsu, H., Katsurayama, H., Konigorski, D. & Abe, T. 2012 Effect of the strong magnetic field on the electrodynamic heat shield system for reentry vehicles. In 43rd AIAA Plasmadynamics and Lasers Conference. p. 2731. American Institute of Aeronautics and Astronautics.Google Scholar
Perkins, F., Barabaschi, P., Boucher, D., Cordey, J. G., Costley, A., Deboo, J., Diamond, P. H., Fujisawa, N., Greenfield, C. M., Hogan, J. et al. 1994 Iter physics basis. In Plasma Physics and Controlled Nuclear Fusion Research: Proceedings of the International Conference on Plasma Physics and Controlled Nuclear Fusion Research, vol. 15, p. 477. International Atomic Energy Agency.Google Scholar
Summers, H. P. & O’Mullaine, M. 2011 Atomic data and modelling for fusion: the adas project. In 7th International Conference on Atomic and Molecular Data and THEIR Aplications-ICAMDATA-2010, vol. 1344, pp. 179–187. AIP Publishing.Google Scholar
Summers, H. P.1994 Atomic data and analysis structure. JET Rep.Google Scholar
Taccogna, F., Longo, S., Capitelli, M. & Schneider, R. 2005 Self-similarity in hall plasma discharges: applications to particle models. Phys. Plasmas 12 (5), 053502.CrossRefGoogle Scholar
Tskhakaya, D., Matyash, K., Schneider, R. & Taccogna, F. 2007 The particle-in-cell method. Contrib. Plasma Phys. 47 (8–9), 563–594.CrossRefGoogle Scholar