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Ion Mitigation for Laser IFE Optics

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Los Angeles, California, June 2, 2004 ... Entire range of gold ions impact at shallow angles ... DEFLECTOR calculates fluxes and angles for all wall impacting ions. ... – PowerPoint PPT presentation

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Title: Ion Mitigation for Laser IFE Optics


1
Ion Mitigation for Laser IFE Optics
Ryan Abbott, Jeff Latkowski, Rob Schmitt HAPL
Program Workshop Los Angeles, California, June 2,
2004
This work was performed under the auspices of the
U.S. Department of Energy by the University of
California, Lawrence Livermore National
Laboratory under contract No. W-7405-ENG-48
2
Outline
  • Review of previous ion mitigation research
    including
  • the ion threat to laser optics
  • the simple concept to protect them
  • the modeling used to evaluate the viability of
    the this concept
  • Summary of new findings about
  • the threat posed by neutrals
  • sputtering products
  • the costs of implementing ion mitigation (money
    and power)
  • Putting it all together
  • Loose ends and uncertainties
  • additional modeling

3
Ions pose a threat to laser optics in IFE chambers
  • Target heating constraints severely limit
    background Xe gas pressure
  • earlier designs called for as much as 500 mTorr
  • current understanding limits this to between 10
    and 50 mTorr
  • Reduced gas pressures will be unable to stop
    harmful target burn and debris ions
  • Ion Range (m) Fluence _at_ 30m ( / m2)
  • H 50 350m 7.98x1016
  • He 80 1000m 5.31x1015
  • C 50 150m 6.18x1014
  • Au 150 370m 7.48x1012
  • Designs call for laser optics at 15 30 m from
    chamber center
  • Ions may cause adverse effects necessitating
    frequent optic replacement

4
Ions You cant stop them, you can only hope to
deflect them!
5
DEFLECTOR was developed to determine all these
ion paths
6
Modest fields can be used to deflect most (if not
all) ions
To Optic 99.4 of ions 81.4 of energy
In Gas 0.6 of ions 18.6 of energy
To Wall 0.0 of ions 0.0 of energy
NO FIELD
7
Modest fields can be used to deflect most (if not
all) ions
To Optic 1.4e-4 of ions 6.1e-3 of energy
In Gas 8.5e-3 of ions 6.2 of energy
To Wall 99.99 of ions 93.8 of energy
0.1T FIELD
8
Neutrals were identified as a threat not
sufficiently modeled
  • Equilibrium charges were used and the effects of
    more realistic charge distributions neglected
  • It was unknown if a significant fraction of the
    ions would be neutral and unaffected by magnetic
    fields
  • To address these questions the neutral threat was
    evaluated in greater detail

9
A conservative analysis indicates a minimal
neutral threat
  • CHARGE (GSI) was used to determine the
    equilibrium neutral fraction for the lighter burn
    and debris ions (1,2,3H, 3,4He) at start of
    magnetic field (8m from center of chamber)
  • When combined with the target output spectra at
    30m (after some stopping has occurred), the
    maximum possible neutral ion fluence to the optic
    is obtained

He Fluence Spectrum at 30m
He Neutral Fraction Distribution
10
A conservative analysis indicates a minimal
neutral threat
He Neutral Fluence Spectrum at 30m
  • Even in this impossible worst case scenario, the
    light ion fluence at the optic has been reduced
    by a factor of 100,000
  • In reality, charge exchange cross sections
    indicate that no ion will be neutral over any
    significant distance (e.g., mean free path for 1
    MeV He ionization is only 45 mm in 10 mTorr Xe)
  • The neutral fraction curves for Hydrogen are
    similar to those for Helium

11
Heavier ions are unlikely to have significant
neutral fractions
Au Fluence Spectrum at 30m
12
Wall impact sputtering products could pose an
optic threat
Hydrogen
Helium
Carbon
13
Sputtering is enhanced for grazing incidence
impacts
  • Stiff ions (high mass, high energy) are more
    weakly influenced by the magnetic field
  • Ions have initial trajectories parallel to tube
    walls stiff ions are only perturbed a minor
    amount ? strike at grazing incidence
  • Gold ions illustrate this well
  • Entire range of gold ions impact at shallow angles

14
A sputtering product calculation example for gold
  • DEFLECTOR calculates fluxes and angles for all
    wall impacting ions. These results can be
    coupled with SRIM calculations to predict the
    sputtering threat
  • Depending on where impacts occur, all gold
    sputtering products may be stopped by the
    background gas
  • Results may differ for aluminum or other beam
    tube materials
  • A gas pressure gradient may be sufficient to
    flush the beam tubes of sputtering products

15
The costs of implementing ion mitigation will be
reasonable
  • The moderate fields required by the concept will
    require only normal copper magnets
  • Example
  • 0.1 T coils have a cross section of 500 cm2
  • Power dissipation is 80 kW/coil ? 10 MW for
    full, 120 coil set
  • Each Helmholtz pair requires 2800 kg of copper
    and costs 28K to fabricate
  • Total magnet cost of 1.7M

16
When summed up, ion mitigation proves an
attractive option
  • Conservative analysis shows ion fluences can be
    dramatically reduced or eliminated with modest
    fields
  • No exotic materials or technology are required
  • Hardware placement is flexible with many workable
    variations in field size, strength, and location
  • The cost of implementing this option is
    reasonable

17
There are several loose ends that need to be
addressed
  • Final optic standoff is not fully decided upon
    (12-30 m)
  • Alternate beam-tube geometries should be
    evaluated
  • Coil cross section/field strength/cost trade-off
    studies are needed
  • Consider ion dump or gas pressure gradient to
    handle sputtering
  • Additional magnet shielding and activation
    calculations are needed

18
Summary I told you what I told you I was going
to tell you
  • The threat posed by neutrals is minimal if
    nonexistent
  • sputtering products
  • the costs of implementing ion mitigation (money
    and power)
  • Putting it all together
  • The ion mitigation concept presents an attractive
    concept to protect final optics
  • Loose ends and uncertainties
  • additional modeling
  • experimental validation
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