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Dynamic Response of Ionized Gas in IFE Chamber

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Navier-Stokes equations with state dependent transport properties. ... calculated by IONMIX and provided by Jiankui Yuan, University of Wisconsin. ... – PowerPoint PPT presentation

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Title: Dynamic Response of Ionized Gas in IFE Chamber


1
Dynamic Response of Ionized Gas in IFE Chamber
  • Zoran Dragojlovic and Farrokh Najmabadi
  • Department of Electrical Computer Engineering
    and Center for Energy
  • Research, University of California in San Diego

2
Outline
  • Overview of the previous results.
  • The present algorithm.
  • Effects of background plasma
  • Impact of free electrons on thermal conductivity
    and viscosity.
  • Radiation.
  • Discussion and future plans.

3
Overview of the Previous Results
  • 2D effects are important. Number and
    configuration of beam channels have an influence
    on the distribution of eddies in the chamber,
    which affects the heat transfer.
  • Viscosity and thermal conductivity of neutral gas
    should not be neglected.
  • Dynamic loads on the final optics and chamber
    walls are negligible (Structural analysis of
    chamber walls demonstrated by Ghoniem, December
    2002).

4
The Present Algorithm
  • Navier-Stokes equations with state dependent
    transport properties.
  • Arbitrary domain boundary implemented on a
    Cartesian grid.
  • Discrete conservative update
  • Time-explicit Godunov method for advection
  • Two-stage Runge-Kutta update for diffusion.
  • Conservation on partial cells enforced by local
    redistribution scheme.
  • Adaptive mesh refinement algorithm implemented
    with the conservative update described above.
  • Second order convergence achieved both at the
    boundary and inside the fluid domain as
    documented by a journal publication (Journal of
    Computational Physics).
  • Grid indexing space is handled by BoxLib, a
    library of C classes and structures which
    enables parallel computation. Initial test runs
    were successfully made with help from Marcus Day,
    Lawrence Berkeley Lab.

5
Impact of Background Plasma
  • Coronal equilibrium in the chamber gas assumed.
  • Electron density, ion density and radiated power
    per unit volume are uniquely determined by the
    density and temperature of the gas.
  • Coronal equilibrium parameters calculated by
    IONMIX and provided by Jiankui Yuan, University
    of Wisconsin.
  • Electron thermal conductivity kelectron and
    electron viscosity melectron obtained from NRL
    plasma formulary (2002).
  • Neutral gas diffusive terms calculated by empiric
    formula (Sutherland law).
  • Resulting conductivity and viscosity obtained by
    hybrid law
  • Span of values in the IFE Chamber Model

r \kg/m3 T K kneutral W/(mK) kelectron W/(mK) mneutral Ns/m2 melectron Ns/m2 P W/m3
min 3.84 10-4 973.16 0.025 0.004 9.25 10-5 1.73 10-8 1.33 106
max 77 10-4 4.5 105 0.437 1.14 105 0.0016 597.48 2.71 1012
6
Test Cases
  1. Neutral gas, point of departure.
  2. Electron conductivity neutral gas.
  3. Electron viscosity neutral gas.
  4. Combined electron conductivity and viscosity
    neutral gas.
  5. Radiation sink neutral gas.
  6. Electron diffusivity terms radiation sink
    neutral gas.

7
Properties Compared Case to Case
  • Evolution of Gas Energy from 0-100 ms
  • Internal
  • Kinetic
  • Total.
  • Chamber State at 100 ms
  • Temperature
  • Particle Velocity.

8
Evolution of Gas Energy
  1. Neutral Gas
  2. Electron Conductivity Neutral Gas
  3. Electron Viscosity Neutral Gas
  4. Electron Conductivity Electron Viscosity
    Neutral Gas

9
Evolution of Gas Energy
  1. Neutral Gas
  2. Electron Conductivity Neutral Gas
  3. Electron Viscosity Neutral Gas
  4. Electron Conductivity Electron Viscosity
    Neutral Gas
  5. Radiation Neutral Gas
  6. Electron Diffusivity Terms Radiation Neutral
    Gas

10
Temperature at 100 ms
Neutral Gas
Electron Conductivity Neutral Gas
Electron Viscosity Neutral Gas
Tmin 973.16 K
  • Tmax 2.23 104K
  • Tave 1.06 104K

Tmax 1.43 104K Tave 0.93 104K
Tmax 2.56 104K Tave 1.12 104K
Electron Diffusivity Terms Neutral Gas
Radiation Neutral Gas
Electron Diffusivity Terms Radiation Neutral
Gas
Tmax 1.63 104K Tave 1.00 104K
Tmax 0.44 104K Tave 0.22 104K
Tmax 0.42 104K Tave 0.22 104K
11
Velocity at 100 ms
Electron Diffusivity Terms Neutral Gas
Electron Diffusivity Terms Radiation Neutral
Gas
Vmax m/s Vaverage m/s
Neutral Gas 319.38 93.76
Electron Conductivity Neutral Gas 298.82 91.82
Electron Viscosity Neutral Gas 263.05 78.90
Vmax m/s Vaverage m/s
Electron Diffusivity Terms Neutral Gas 260.15 82.55
Radiation Neutral Gas 288.91 81.88
Electron Diffusivity Terms Radiation Neutral Gas 252.65 79.56
12
Conclusions
  • Effects of background plasma on IFE chamber gas
    evolution were taken into account by assuming a
    coronal equilibrium in the chamber and including
    electron thermal conductivity, electron viscosity
    and radiation power loss into Navier-Stokes
    equations.
  • Electron thermal conductivity and electron
    viscosity did not make a large impact on chamber
    state evolution.
  • Radiation heat sink made a large reduction of
    internal energy (temperature) of the chamber.
    Most of the energy loss (50) occurred within
    the first 10 ms. The internal energy remained
    nearly constant after that.
  • Radiation heat sink changed the flow pattern and
    kinetic energy profile but did not significantly
    reduce the velocities in the chamber.

13
Future Plans
  • Governing equations in cylindrical coordinate
    system.
  • Completed the algorithm for regular grid domain.
  • In progress
  • Adaptation of embedded boundary (partial cells,
    redistribution, etc.) to cylindrical equations.
  • Modification of AMR to synchronize grid levels in
    cylindrical geometry.
  • Multi-species code to include various chamber
    constituents, such as those originating from the
    target, material ablated from the wall, etc.
    First version to include Xe, He, D, T.
  • Gain access to a parallel computer and provide
    higher accuracy of solution.
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