scholarly journals Theoretical Development of the Information Preservation Method for Strongly Nonequilibrium Gas Flows

Author(s):  
Quanhua Sun ◽  
Iain Boyd
2000 ◽  
Author(s):  
Quanhua Sun ◽  
Iain D. Boyd ◽  
Jing Fan

Abstract The development of particle methods to simulate flows related to micro-electro-mechanical systems is described. This effort is aimed at increasing our understanding of rarefied gas behavior to facilitate the design and optimization of micro-devices. The proposed information preservation method preserves macroscopic information of the flow as the particles move and interact with each other and the domain boundaries. The results exhibit very low levels of statistical scatter, which helps apply the method to low speed MEMS flows. In the implementation, specific consideration is needed for flows with large temperature variation.


2019 ◽  
Vol 100 (3) ◽  
Author(s):  
Di Wu ◽  
Donghuan Wang ◽  
Hong Xiao

1962 ◽  
Vol 29 (10) ◽  
pp. 1222-1237 ◽  
Author(s):  
ROBERT J. WHALEN
Keyword(s):  

Author(s):  
Quanhua Sun ◽  
Feng Li ◽  
Jing Fan ◽  
Chunpei Cai

The micro-scale gas flows are usually low-speed flows and exhibit rarefied gas effects. It is challenging to simulate these flows because traditional CFD method is unable to capture the rarefied gas effects and the direct simulation Monte Carlo (DSMC) method is very inefficient for low-speed flows. In this study we combine two techniques to improve the efficiency of the DSMC method. The information preservation technique is used to reduce the statistical noise and the cell-size relaxed technique is employed to increase the effective cell size. The new cell-size relaxed IP method is found capable of simulating micro-scale gas flows as shown by the 2D lid-driven cavity flows.


1991 ◽  
Vol 3 (4) ◽  
pp. 697-705 ◽  
Author(s):  
Daniel A. Erwin ◽  
Gerald C. Pham‐Van‐Diep ◽  
E. Phillip Muntz

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