Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A high-order moment approach for capturing non-equilibrium phenomena in the transition regime
by
EMERSON, DAVID R.
, GU, XIAO-JUN
in
Computational methods in fluid dynamics
/ Exact sciences and technology
/ Flow rates
/ Fluid dynamics
/ Fundamental areas of phenomenology (including applications)
/ Mathematics
/ Monte Carlo simulation
/ Physics
/ Rarefied gas dynamics
/ Theory
/ Velocity
2009
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A high-order moment approach for capturing non-equilibrium phenomena in the transition regime
by
EMERSON, DAVID R.
, GU, XIAO-JUN
in
Computational methods in fluid dynamics
/ Exact sciences and technology
/ Flow rates
/ Fluid dynamics
/ Fundamental areas of phenomenology (including applications)
/ Mathematics
/ Monte Carlo simulation
/ Physics
/ Rarefied gas dynamics
/ Theory
/ Velocity
2009
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A high-order moment approach for capturing non-equilibrium phenomena in the transition regime
by
EMERSON, DAVID R.
, GU, XIAO-JUN
in
Computational methods in fluid dynamics
/ Exact sciences and technology
/ Flow rates
/ Fluid dynamics
/ Fundamental areas of phenomenology (including applications)
/ Mathematics
/ Monte Carlo simulation
/ Physics
/ Rarefied gas dynamics
/ Theory
/ Velocity
2009
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A high-order moment approach for capturing non-equilibrium phenomena in the transition regime
Journal Article
A high-order moment approach for capturing non-equilibrium phenomena in the transition regime
2009
Request Book From Autostore
and Choose the Collection Method
Overview
The method of moments is employed to extend the validity of continuum-hydrodynamic models into the transition-flow regime. An evaluation of the regularized 13 moment equations for two confined flow problems, planar Couette and Poiseuille flows, indicates some important limitations. For planar Couette flow at a Knudsen number of 0.25, they fail to reproduce the Knudsen-layer velocity profile observed using a direct simulation Monte Carlo approach, and the higher-order moments are not captured particularly well. Moreover, for Poiseuille flow, this system of equations creates a large slip velocity leading to significant overprediction of the mass flow rate for Knudsen numbers above 0.4. To overcome some of these difficulties, the theory of regularized moment equations is extended to 26 moment equations. This new set of equations highlights the importance of both gradient and non-gradient transport mechanisms and is shown to overcome many of the limitations observed in the regularized 13 moment equations. In particular, for planar Couette flow, they can successfully capture the observed Knudsen-layer velocity profile well into the transition regime. Moreover, this new set of equations can correctly predict the Knudsen layer, the velocity profile and the mass flow rate of pressure-driven Poiseuille flow for Knudsen numbers up to 1.0 and captures the bimodal temperature profile in force-driven Poiseuille flow. Above this value, the 26 moment equations are not able to accurately capture the velocity profile in the centre of the channel. However, they are able to capture the basic trends and successfully predict a Knudsen minimum at the correct value of the Knudsen number.
Publisher
Cambridge University Press
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.