scholarly journals Application of DVM/DVMH technology for solving parametric problems of computational gas dynamics

2018 ◽  
pp. 1-16
Author(s):  
Alexander Evgenyevich Bondarev ◽  
Artyom Evgenyevich Kuvshinnikov
Keyword(s):  
Gas Dynamics ◽  
Computational Gas Dynamics ◽  
Parametric Problems

scholarly journals Сalculated analysis of the influence of operation and design factors on the parameters of oxygen-hydrogen low-thrust rocket engines

2019 ◽  
Vol 18 (3) ◽  
pp. 131-142
Author(s):  
V. V. Ryzhkov ◽  
I. I. Morozov
Keyword(s):  
Combustion Chamber ◽  
Gas Dynamics ◽  
Selection Criterion ◽  
Design Parameters ◽  
Rocket Engines ◽  
Low Thrust ◽  
Gaseous Oxygen ◽  
Computational Gas Dynamics ◽  
Design Factors ◽  
Selection Of

The paper presents the results of calculating thermodynamic and thermophysical properties of the combustion products of gaseous oxygen-hydrogen fuel according to the ideal LRE model taking into account the phase state of the components, as well as the parameters of a low-thrust engine according to the model of computational gas dynamics to ensure the selection of operation and design factors that define the design of a thruster for advanced aerospace objects. It is shown that ideal models can be used for the selection of some parameters, such as: the excess oxidant ratio, the pressure in the combustion chamber, the geometric degree of area expansion ratio. High-level computational gas dynamics models need to be used for the selection of some of the parameters of the engine to be designed, such as: design parameters of the propellant injection pattern, reduced length of the combustion chamber and some others. Air specific impulse was used as the selection criterion. The obtained calculation data allow one to choose the main parameters of the engine being designed with account for real processes in the combustion chamber and the nozzle of the engine.

Lagrangian visualization methods in computational gas dynamics

2019 ◽  
pp. 13-22
Author(s):  
К.Н. Волков ◽  
В.Н. Емельянов ◽  
И.В. Тетерина
Keyword(s):  
Gas Dynamics ◽  
Computational Gas Dynamics

Parallel Solutions of Parametric Problems in Gas Dynamics Using DVM/DVMH Technology

2020 ◽  
Vol 46 (3) ◽  
pp. 176-182
Author(s):  
A. E. Bondarev ◽  
V. A. Galaktionov ◽  
A. E. Kuvshinnikov
Keyword(s):  
Gas Dynamics ◽  
Parametric Problems

Application of high-order accurate methods to solve the computational gas dynamics and aeroacoustics problems

2011 ◽  
Vol 54 (1) ◽  
pp. 34-42
Author(s):  
M. V. Usanin ◽  
A. A. Siner ◽  
A. M. Sipatov ◽  
L. Yu. Gomzikov ◽  
V. G. Avgustinovich
Keyword(s):  
Gas Dynamics ◽  
High Order ◽  
Computational Gas Dynamics

scholarly journals Application of computational gas dynamics methods for calculating losses during rotation of solids in low vacuum conditions

2021 ◽  
Vol 2057 (1) ◽  
pp. 012019
Author(s):  
A A Barkova ◽  
A S Pugachuk
Keyword(s):  
Mathematical Model ◽  
Comparative Analysis ◽  
High Frequency ◽  
Gas Dynamics ◽  
Scientific Literature ◽  
Maximum Difference ◽  
Computational Gas Dynamics ◽  
Distributed Parameters ◽  
Working Medium ◽  
Aerodynamic Losses

Abstract On the basis of a mathematical model with distributed parameters, a method for determining aerodynamic losses during high-frequency rotation of a flywheel accumulator is developed. The power of losses due to friction of the rotor against the air is determined as a function of the pressure in the chamber. A comparative analysis of the aerodynamic losses under low vacuum conditions at various pressures of the working medium and the data obtained on the basis of empirical dependences and presented in the scientific literature on this topic is carried out. The maximum difference between the loss power values is no more than 25%. The data deviation decreases as the pressure in the chamber decreases.

Supernovae and interstellar gas dynamics

1967 ◽  
Vol 31 ◽  
pp. 117-119
Author(s):  
F. D. Kahn ◽  
L. Woltjer
Keyword(s):  
Lower Limit ◽  
High Velocity ◽  
Gas Dynamics ◽  
Interstellar Cloud ◽  
Interstellar Gas ◽  
Random Motions ◽  
Relativistic Particles

The efficiency of the transfer of energy from supernovae into interstellar cloud motions is investigated. A lower limit of about 0·002 is obtained, but values near 0·01 are more likely. Taking all uncertainties in the theory and observations into account, the energy per supernova, in the form of relativistic particles or high-velocity matter, needed to maintain the random motions in the interstellar gas is estimated as 1051·4±1ergs.

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