Improvement of Capsule Mode 1 through Experimentally Enhanced Monte Carlo Modeling

The wall thickness nonuniformity (mode 1) has been iden fied as one of the main degrada on mechanisms of ICF implosions.High-yield igni on experiments require selec ng capsules with Mode 1 values of 0.18% or lower.Targe ng capsules with very low M1 has a significant effect on HDC batch yield.Due to the long processing mes, it is necessary to reduce the overall magnitude of M1 to allow for more viable shells to be selected for targets, thus having a posi ve effect on overall yield.Experiments to determine the instantaneous coa ng non-uniformity (ICNU) were performed to provide inputs for Monte Carlo modeling to elucidate the effects of different parameters on the batch average M1.Results indicate that both agita on me and the FWHM of the coa ng have a strong effect on M1 and provide an effec ve screening tool for tuning parameters and op mizing batch yield.

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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Published
2024-09-13
Primary Topic
Nuclear Engineering Thermal-Hydraulics
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article

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article

Improvement of Capsule Mode 1 through Experimentally Enhanced Monte Carlo Modeling

Sean Hayes
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Nuclear Engineering Thermal-Hydraulics
article

Improvement of Capsule Mode 1 through Experimentally Enhanced Monte Carlo Modeling

Sean Hayes
article en

Abstract

The wall thickness nonuniformity (mode 1) has been iden fied as one of the main degrada on mechanisms of ICF implosions.High-yield igni on experiments require selec ng capsules with Mode 1 values of 0.18% or lower.Targe ng capsules with very low M1 has a significant effect on HDC batch yield.Due to the long processing mes, it is necessary to reduce the overall magnitude of M1 to allow for more viable shells to be selected for targets, thus having a posi ve effect on overall yield.Experiments to determine the instantaneous coa ng non-uniformity (ICNU) were performed to provide inputs for Monte Carlo modeling to elucidate the effects of different parameters on the batch average M1.Results indicate that both agita on me and the FWHM of the coa ng have a strong effect on M1 and provide an effec ve screening tool for tuning parameters and op mizing batch yield.

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Lawrence Livermore National Laboratory (US)
U.S. Department of Energy, Laboratory Directed Research and Development, Lawrence Livermore National Laboratory
Affordable and clean energy
Nuclear Engineering Thermal-Hydraulics
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