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Original Articles

Modeling of Supersonic Radiative Marshak Waves Using Simple Models and Advanced Simulations

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Pages 378-399 | Published online: 27 Jan 2019
 

Abstract

We study the problem of radiative heat (Marshak) waves using advanced approximate approaches. Supersonic radiative Marshak waves that are propagating into a material are radiation dominated (i.e., hydrodynamic motion is negligible), and can be described by the Boltzmann equation. However, the exact thermal radiative transfer problem is a non-trivial one, and there still exists a need for approximations that are simple to solve. The discontinuous asymptotic P1 approximation, which is a combination of the asymptotic P1 and the discontinuous asymptotic diffusion approximations, was tested in previous work via theoretical benchmarks. Here, we analyze a fundamental and typical experiment of a supersonic Marshak wave propagation in a low-density SiO2 foam cylinder, embedded in gold walls. First, we offer a simple analytic model that grasps the main effects dominating the physical system. We find the physics governing the system to be dominated by a simple, one-dimensional effect, based on the careful observation of the different radiation temperatures that are involved in the problem. The model is completed with the main two-dimensional effect which is caused by the loss of energy to the gold walls. Second, we examine the validity of the discontinuous asymptotic P1 approximation, comparing to exact simulations with good accuracy. Specifically, the heat front position, as a function of the time, is reproduced perfectly in comparison to exact Boltzmann solutions.

Acknowledgments

The authors thank Roee Kirschenzweig for using an IMC code, Roy Perry for using a SN code for radiative problems, and Guy Malamud and the anonymous referees for their valuable comments. Special thanks to Mordecai (Mordy) Rosen from LLNL for the valuable conversations regarding the three different radiation temperatures and the wall-albedo.

Additional information

Funding

We acknowledge the support of the PAZY Foundation, under Grant no. 61139927.

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