On the influence of the numerical strategy on the predictive character of Euler-Euler models for two-phase flow simulations in solid rocket motor instabilities - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

On the influence of the numerical strategy on the predictive character of Euler-Euler models for two-phase flow simulations in solid rocket motor instabilities

Résumé

Solid Rocket Motors involve strongly coupled two-phase flow. The presence of a polydisperse spray of particles resulting from the combustion of aluminized propellant has been shown to have a strong impact on stability and can eventually yield thrust oscillations. The ability to conduct predictive simulations of such a harsh environment is highly desirable. Euler-Euler models relying on moment methods for the disperse phase constitute interesting approaches due to their efficiency at coupling both phases and their ability for high performance computing. A multi-fluid model coupled to a new numerical strategy for the disperse phase is introduced in order to cope with the natural high stiffness of the resulting systems of conservation laws. The predictive character of the method is strongly related to the possibility of using accurate methods while preserving stability and robustness in the presence of intrinsic singularities occurring in the disperse phase equations. The purpose of this contribution is to stress the impact of several numerics and modeling on the solution. Relevant test cases for solid propulsion involving hydrodynamic instabilities and acoustic coupling are presented. A strategy is proposed in order to produce reliable predictions.
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Dates et versions

hal-01862008 , version 1 (30-04-2020)

Identifiants

  • HAL Id : hal-01862008 , version 1

Citer

Valentin Dupif, Marc Massot, Joel Dupays, Frédérique Laurent, Clément Le Touze. On the influence of the numerical strategy on the predictive character of Euler-Euler models for two-phase flow simulations in solid rocket motor instabilities. 9th International Conference on Multiphase Flow, May 2016, Firenze, Italy. ⟨hal-01862008⟩
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