Effects of preheat and mix on the fuel adiabat of an imploding capsule

Cheng, B.; Kwan, T. J.  T.; Wang, Y. M.; Yi, S. A.; Batha, S. H.; Wysocki, F. J.

doi:10.1063/1.4971814

Title: Effects of preheat and mix on the fuel adiabat of an imploding capsule

Journal Article · Thu Dec 01 00:00:00 EST 2016 · Physics of Plasmas

DOI:https://doi.org/10.1063/1.4971814· OSTI ID:1414096

Cheng, B. ^[1]; Kwan, T. J. T. ^[1];

^[1]; Yi, S. A. ^[1]; Batha, S. H. ^[1]; Wysocki, F. J. ^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

We demonstrate the effect of preheat, hydrodynamic mix and vorticity on the adiabat of the deuterium-tritium (DT) fuel in fusion capsule experiments. We show that the adiabat of the DT fuel increases resulting from hydrodynamic mixing due to the phenomenon of entropy of mixture. An upper limit of mix, M_clean=M_DT ≥ 0:98 is found necessary to keep the DT fuel on a low adiabat. We demonstrate in this study that the use of a high adiabat for the DT fuel in theoretical analysis and with the aid of 1D code simulations could explain some aspects of 3D effects and mix in capsule implosion. Furthermore, we can infer from our physics model and the observed neutron images the adiabat of the DT fuel in the capsule and the amount of mix produced on the hot spot.

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Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1414096

Alternate ID(s):: OSTI ID: 1334678

Report Number(s):: LA-UR-16-27064; PHPAEN; TRN: US1800630

Journal Information:: Physics of Plasmas, Vol. 23, Issue 12; ISSN 1070-664X

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 19 works

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Progress toward a self-consistent set of 1D ignition capsule metrics in ICF Lindl, J. D.; Haan, S. W.; Landen, O. L. Physics of Plasmas, Vol. 25, Issue 12 https://doi.org/10.1063/1.5049595	journal	December 2018
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Analysis of NIF scaling using physics informed machine learning Hsu, Abigail; Cheng, Baolian; Bradley, Paul A. Physics of Plasmas, Vol. 27, Issue 1 https://doi.org/10.1063/1.5130585	journal	January 2020
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