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Nonequilibrium gas dynamics and molecular simulation / Iain D. Boyd, University of Michigan, Thomas E. Schwartzentruber, University of Minnesota
(Cambridge aerospace series ; 42)

Publisher (Cambridge : Cambridge University Press)
Year 2017
Authors *Boyd, Iain D. 1964- author
Schwartzentruber, Thomas E. 1977- author

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OB00194622 Cambridge Core (電子ブック) 9781139683494

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Material Type E-Book
Media type 機械可読データファイル
Size 1 online resource (xxi, 360 pages) : digital, PDF file(s)
Notes Title from publisher's bibliographic system (viewed on 21 Apr 2017)
Kinetic theory -- Statistical mechanics -- Finite-rate processes -- Relations between molecular and continuum gas dynamics er-atomic potentials -- Direct simulation Monte Carlo (DSMC) -- DSMC models for nonequilibrium thermochemistry
This current and comprehensive book provides an updated treatment of molecular gas dynamics topics for aerospace engineers, or anyone researching high-temperature gas flows for hypersonic vehicles and propulsion systems. It demonstrates how the areas of quantum mechanics, kinetic theory, and statistical mechanics can combine in order to facilitate the study of nonequilibrium processes of internal energy relaxation and chemistry. All of these theoretical ideas are used to explain the direct simulation Monte Carlo (DSMC) method, a numerical technique based on molecular simulation. Because this text provides comprehensive coverage of the physical models available for use in the DSMC method, in addition to the equations and algorithms required to implement the DSMC numerical method, readers will learn to solve nonequilibrium flow problems and perform computer simulations, and obtain a more complete understanding of various physical modeling options for DSMC than is available in other texts
HTTP:URL=https://doi.org/10.1017/9781139683494
Subjects LCSH:Gas dynamics -- Mathematical models  All Subject Search
LCSH:Molecular dynamics
LCSH:Gas flow -- Mathematical models  All Subject Search
LCSH:Nonequilibrium thermodynamics
LCSH:Kinetic theory of gases
LCSH:Monte Carlo method
Classification LCC:QC168
DC23:533/.2
ID 8000093770
ISBN 9781139683494

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