66 research outputs found
A Unified Gas-kinetic Scheme for Continuum and Rarefied Flows IV: full Boltzmann and Model Equations
Fluid dynamic equations are valid in their respective modeling scales. With a
variation of the modeling scales, theoretically there should have a continuous
spectrum of fluid dynamic equations. In order to study multiscale flow
evolution efficiently, the dynamics in the computational fluid has to be
changed with the scales. A direct modeling of flow physics with a changeable
scale may become an appropriate approach. The unified gas-kinetic scheme (UGKS)
is a direct modeling method in the mesh size scale, and its underlying flow
physics depends on the resolution of the cell size relative to the particle
mean free path. The cell size of UGKS is not limited by the particle mean free
path. With the variation of the ratio between the numerical cell size and local
particle mean free path, the UGKS recovers the flow dynamics from the particle
transport and collision in the kinetic scale to the wave propagation in the
hydrodynamic scale.
The previous UGKS is mostly constructed from the evolution solution of
kinetic model equations. This work is about the further development of the UGKS
with the implementation of the full Boltzmann collision term in the region
where it is needed. The central ingredient of the UGKS is the coupled treatment
of particle transport and collision in the flux evaluation across a cell
interface, where a continuous flow dynamics from kinetic to hydrodynamic scales
is modeled. The newly developed UGKS has the asymptotic preserving (AP)
property of recovering the NS solutions in the continuum flow regime, and the
full Boltzmann solution in the rarefied regime. In the mostly unexplored
transition regime, the UGKS itself provides a valuable tool for the flow study
in this regime. The mathematical properties of the scheme, such as stability,
accuracy, and the asymptotic preserving, will be analyzed in this paper as
well
Particle simulation of micro-scale gas flows
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77058/1/AIAA-2001-876-485.pd
Theoretical Development of the Information Preservation Method for Strongly Nonequilibrium Gas Flows
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76837/1/AIAA-2005-4828-755.pd
Modeling Gas Nucleation and Condensation Using the Direct Simulation Monte Carlo Method
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77215/1/AIAA-2005-4831-470.pd
Valid Physical Processes from Numerical Discontinuities in Computational Fluid Dynamics
Due to the limited cell resolution in the representation of flow variables, a
piecewise continuous initial reconstruction with discontinuous jump at a cell
interface is usually used in modern computational fluid dynamics methods.
Starting from the discontinuity, a Riemann problem in the Godunov method is
solved for the flux evaluation across the cell interface in a finite volume
scheme. With the increasing of Mach number in the CFD simulations, the
adaptation of the Riemann solver seems introduce intrinsically a mechanism to
develop instabilities in strong shock regions. Theoretically, the Riemann
solution of the Euler equations are based on the equilibrium assumption, which
may not be valid in the non-equilibrium shock layer. In order to clarify the
flow physics from a discontinuity, the unsteady flow behavior of
one-dimensional contact and shock wave is studied on a time scale of (0~10000)
times of the particle collision time. In the study of the non-equilibrium flow
behavior from a discontinuity, the collision-less Boltzmann equation is first
used for the time scale within one particle collision time, then the direct
simulation Monte Carlo (DSMC) method will be adapted to get the further
evolution solution. The transition from the free particle transport to the
dissipative Navier-Stokes (NS) solutions are obtained as an increasing of time.
The exact Riemann solution becomes a limiting solution with infinite number of
particle collisions. For the high Mach number flow simulations, the points in
the shock transition region, even though the region is enlarged numerically to
the mesh size, should be considered as the points inside a highly
non-equilibrium shock layer
Rarefied Background Flow in a Vacuum Chamber
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76815/1/AIAA-2005-4660-157.pd
Rarefied Background Flow in a Vacuum Chamber Equipped with One-Sided Pumps
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76471/1/AIAA-19178-970.pd
Development of an information preservation method for subsonic, micro-scale gas flows
The development of an information preservation (IP) method is described in this paper. This effort is aimed at increasing our understanding of rarefied gas behavior of subsonic, micro-scale gas flows. The IP method preserves macroscopic information of the flow in the simulated particles. It applies conservation laws for binary collisions of the particles following the movement in the DSMC method, and updates the information using the Euler equations. The IP results exhibit very low levels of statistical scatter, which helps apply the method to low speed gas flows. A difficulty in implementing the IP method is also discussed. © 2001 American Institute of Physics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87370/2/547_1.pd
A Hybrid Continuum / Particle Approach for MicroâScale Gas Flows
A hybrid continuum/particle approach is proposed for micro scale gas flows in this paper. The approach couples the DSMCâIP method and a NavierâStokes solver with an adaptive interface. The continuum solver uses the particle cells as ghost cells because the IP method preserves the hydrodynamic information that the continuum solver uses. In order to generate particles from the continuum side, two strategies are proposed. The first one uses a condition similar to the Marshak condition in generating particles through the interface. The second strategy adopts buffer cells and reservoir cells, which avoids directly generating particles. The interface is determined by a continuum breakdown parameter that is evaluated in every time step. In order to track the interface, a mapping technique is used in the code. Numerical examples show that the hybrid approach couples the continuum solver and the particle method very smoothly. Simulated results also show the effects of the cutoff value of the continuum breakdown parameter. © 2003 American Institute of PhysicsPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87933/2/752_1.pd
Numerical simulation of gas flow over micro-scale airfoils
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76512/1/AIAA-2001-3071-891.pd
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