Numerical solution of the problem of nonequilibrium expansion of gas-dynamic flows in short nozzles with thermal recombination of atoms

1992 ◽  
Vol 58 (1) ◽  
pp. 79-83
Author(s):  
V. N. Sklepovoi ◽  
V. P. Sukhenko
Keyword(s):  
Numerical Solution ◽  
Gas Dynamic ◽  
Dynamic Flows

Numerical Simulation of the Process of Phase Transitions in Gas-Dynamic Flows in Nozzles and Jets

2020 ◽  
pp. 133-151 ◽  
Author(s):  
Igor E. Ivanov ◽  
Vladislav S. Nazarov ◽  
Vladimir Yu. Gidaspov ◽  
Igor A. Kryukov
Keyword(s):  
Numerical Simulation ◽  
Phase Transitions ◽  
Gas Dynamic ◽  
Dynamic Flows

scholarly journals Direct numerical simulation of two-phase gas dynamic flows with phase transition for water and for liquid sodium

2017 ◽  
Vol 115 ◽  
pp. 05009 ◽  
Author(s):  
Anna Aksenova ◽  
Vladimir Chudanov ◽  
Alexey Leonov ◽  
Artem Makarevich
Keyword(s):  
Phase Transition ◽  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
Liquid Sodium ◽  
Two Phase ◽  
Gas Dynamic ◽  
Dynamic Flows

Development of the Raleigh-Tailor instability in inhomogeneous magnetic gas-dynamic flows

2006 ◽  
Vol 46 (5) ◽  
pp. 863-872 ◽  
Author(s):  
E. N. Vasil’ev ◽  
D. A. Nesterov
Keyword(s):  
Gas Dynamic ◽  
Dynamic Flows

Numerical simulation of gas dynamic flows in pressure recovery systems of supersonic chemical lasers

2001 ◽  
Author(s):  
Andrey V. Savin ◽  
A. A. Ignatiev ◽  
A. V. Fedotov
Keyword(s):  
Numerical Simulation ◽  
Pressure Recovery ◽  
Gas Dynamic ◽  
Dynamic Flows

Numerical modelling of two-dimensional gas-dynamic flows on a variable-structure mesh

1986 ◽  
Vol 26 (5) ◽  
pp. 74-84 ◽  
Author(s):  
N.V. Mikhailova ◽  
V.F. Tishkin ◽  
N.N. Tyurina ◽  
A.P. Favorskii ◽  
M.Yu. Shashkov
Keyword(s):  
Numerical Modelling ◽  
Variable Structure ◽  
Two Dimensional ◽  
Gas Dynamic ◽  
Dynamic Flows

Numerical solution of gas-dynamic equations with boundary conditions for reflection and recondensation

1995 ◽  
Vol 199 (5-6) ◽  
pp. 333-338 ◽  
Author(s):  
Antonio Miotello ◽  
Cristina Moro
Keyword(s):  
Boundary Conditions ◽  
Numerical Solution ◽  
Dynamic Equations ◽  
Gas Dynamic ◽  
Gas Dynamic Equations

Smoothed MHD equations for numerical simulations of ideal quasi-neutral gas dynamic flows

2015 ◽  
Vol 196 ◽  
pp. 348-361 ◽  
Author(s):  
Mikhail V. Popov ◽  
Tatiana G. Elizarova
Keyword(s):  
Numerical Simulations ◽  
Mhd Equations ◽  
Neutral Gas ◽  
Gas Dynamic ◽  
Dynamic Flows

scholarly journals A Monotonic Method of Split Particles

2021 ◽  
Author(s):  
Yanilkin Yury ◽  
Shmelev Vladimir ◽  
Kolobyanin Vadim
Keyword(s):  
Concentration Field ◽  
Particle Method ◽  
Advection Equation ◽  
Time Step ◽  
Gas Dynamic ◽  
History Of ◽  
Dynamic Flows ◽  
2D And 3D ◽  
Eulerian Methods ◽  
Material Fluxes

The problem of correct calculation of the motion of a multicomponent (multimaterial) medium is the most serious problem for Lagrangian–Eulerian and Eulerian techniques, especially in multicomponent cells in the vicinity of interfaces. There are two main approaches to solving the advection equation for a multicomponent medium. The first approach is based on the identification of interfaces and determining their position at each time step by the concentration field. In this case, the interface can be explicitly distinguished or reconstructed by the concentration field. The latter algorithm is the basis of widely used methods such as VOF. The second approach involves the use of the particle or marker method. In this case, the material fluxes of substances are determined by the particles with which certain masses of substances bind. Both approaches have their own advantages and drawbacks. The advantages of the particle method consist in the Lagrangian representation of particles and the possibility of” drawbacks. The main disadvantage of the particle method is the strong non-monotonicity of the solution caused by the discrete transfer of mass and mass-related quantities from cell to cell. This paper describes a particle method that is free of this drawback. Monotonization of the particle method is performed by spliting the particles so that the volume of matter flowing out of the cell corresponds to the volume calculated according to standard schemes of Lagrangian–Eulerian and Eulerian methods. In order not to generate an infinite chain of spliting, further split particles are re-united when certain conditions are met. The method is developed for modeling 2D and 3D gas-dynamic flows with accompanying processes, in which it is necessary to preserve the history of the process at Lagrangian points.

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