Prediction of gas transport properties through fibrous carbon preform microstructures using Direct Simulation Monte Carlo

2019 ◽  
Vol 130 ◽  
pp. 923-937 ◽  
Author(s):  
Revathi Jambunathan ◽  
Deborah A. Levin ◽  
Arnaud Borner ◽  
Joseph C. Ferguson ◽  
Francesco Panerai
Keyword(s):  
Monte Carlo ◽  
Transport Properties ◽  
Gas Transport ◽  
Direct Simulation Monte Carlo ◽  
Direct Simulation ◽  
Carbon Preform ◽  
Gas Transport Properties ◽  
Fibrous Carbon ◽  
Simulation Monte Carlo

Computations of Low Pressure Fluid Flow and Heat Transfer in Ducts Using Direct Simulation Monte Carlo Method

1999 ◽  
Author(s):  
Fang Yan ◽  
Bakhtier Farouk
Keyword(s):  
Heat Transfer ◽  
Monte Carlo ◽  
Noble Gas ◽  
Direct Simulation Monte Carlo ◽  
Low Pressure ◽  
Direct Simulation ◽  
Flow And Heat Transfer ◽  
Gas Transport Properties ◽  
Pressure Profiles ◽  
Simulation Monte Carlo

Abstract High Knudsen (Kn) number flows are found in vacuum and micro-scale systems. Such flows are characterized by non-continuum behavior. For gases, the flows are usually in the slip or transition regimes. In this paper, the direct simulation Monte Carlo (DSMC) method has been applied to compute low pressure, high Kn flow fields in partially heated channels. Computations were carried out for nitrogen, argon, hydrogen, oxygen and noble gas mixtures. Variation of the Kn is obtained by reducing the pressure while keeping the channel width constant. Nonlinear pressure profiles along the channel centerline are observed. Heat transfer from the channel walls is also calculated and compared with the Graetz solution. The effects of varying pressure, inlet flow and gas transport properties (Kn, Reynolds number, Re and the Prandtl number, Pr respectively) on the wall heat transfer (Nu) were examined. A simplified correlation for predicting Nu¯ as a function of Pe¯ and Kn¯ is presented.

scholarly journals Direct Simulation Monte Carlo investigation of fluid characteristics and gas transport in porous microchannels

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Vahid Shariati ◽  
Mohammad Hassan Ahmadian ◽  
Ehsan Roohi
Keyword(s):  
Monte Carlo ◽  
Gas Transport ◽  
Gas Permeability ◽  
Knudsen Diffusion ◽  
Direct Simulation Monte Carlo ◽  
Current Data ◽  
Direct Simulation ◽  
Apparent Permeability ◽  
Knudsen Numbers ◽  
Simulation Monte Carlo

AbstractThe impetus of the current research is to use the direct simulation Monte Carlo (DSMC) algorithm to investigate fluid behaviour and gas transport in porous microchannels. Here, we demonstrate DSMC’s capability to simulate porous media up to 40% porosity. In this study, the porous geometry is generated by a random distribution of circular obstacles through the microchannel with no interpenetration between the obstacles. The influence of the morphology along with rarefaction and gas type on the apparent permeability is investigated. Moreover, the effects of porosity, solid particle’s diameter and specific surface area are considered. Our results demonstrate that although decreasing porosity intensifies tortuosity in the flow field, the tortuosity reduces at higher Knudsen numbers due to slip flow at solid boundaries. In addition, our study on two different gas species showed that the gas type affects slippage and apparent gas permeability. Finally, comparing different apparent permeability models showed that Beskok and Karniadakis model is valid only up to the early transition regime and at higher Knudsen numbers, the current data matches those models that take Knudsen diffusion into account as well.

Numerical Methods for the Kinetic Theory of Fluids

2018 ◽  
Author(s):  
Sauro Succi
Keyword(s):  
Molecular Dynamics ◽  
Monte Carlo ◽  
Numerical Methods ◽  
Kinetic Theory ◽  
Computational Efficiency ◽  
Lattice Boltzmann ◽  
Direct Simulation Monte Carlo ◽  
Particle Methods ◽  
Direct Simulation ◽  
Simulation Monte Carlo

This chapter provides a bird’s eye view of the main numerical particle methods used in the kinetic theory of fluids, the main purpose being of locating Lattice Boltzmann in the broader context of computational kinetic theory. The leading numerical methods for dense and rarified fluids are Molecular Dynamics (MD) and Direct Simulation Monte Carlo (DSMC), respectively. These methods date of the mid 50s and 60s, respectively, and, ever since, they have undergone a series of impressive developments and refinements which have turned them in major tools of investigation, discovery and design. However, they are both very demanding on computational grounds, which motivates a ceaseless demand for new and improved variants aimed at enhancing their computational efficiency without losing physical fidelity and vice versa, enhance their physical fidelity without compromising computational viability.

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