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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 105
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by:
Paper 28
Numerical Simulation of the Gas Mixture Flows using Hybrid Computer Systems Yu. Karamzin, T. Kudryashova, V. Podryga and S. Polyakov
Keldysh Institute of Applied Mathematics, Moscow, Russia Yu. Karamzin, T. Kudryashova, V. Podryga, S. Polyakov, "Numerical Simulation of the Gas Mixture Flows using Hybrid Computer Systems", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 28, 2014. doi:10.4203/ccp.105.28
Keywords: quasi-gas-dynamic equations, molecular dynamics, high performance computing, hybrid architecture.
Summary
Supersonic flows of gas mixtures take place in a wide range of scientific and
technical problems, including space applications, streams into micro channels and
nanotechnology. This paper deals with technology of the deposit of supersonic
nanoparticles on the substructure of electronic components. To use this technology
successfully for producing electronic instruments, it is necessary to study in detail
all physical processes, including the study of the gas jets properties and their
interactions with the elements of the technical systems.
The supersonic expansion of gas mixtures is accompanied by several
simultaneous non equilibrium processes: interfusion of layers, shock waves, heat
exchange with walls and etc. To investigate such complex problems it is essential to
develop adequate numerical technique that implies using stable and robust numerical
algorithms and calculations on fine grids by means of high performance computer
systems.
This paper presents a new method for simulating gas mixture flows that enables
us to solve similar problems and reduce computing time. Some results of modelling
on computer systems with hybrid architectures are discussed. To accurately describe
flow then methods of molecular dynamics must be used. This fact limits the size of
the problem that can be modelled because it requires a significant computational
cost. In this paper a model combining the macroscopic approach with the methods of
molecular dynamics is given.
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