Published July 2018 | Version v1
Journal article

An analysis of numerical convergence in discrete velocity gas dynamics for internal flows

  • 1. The Institute for Computational Engineering and Sciences, 201, East 24th Street, Austin, TX 78712 (United States)
  • 2. Department of Aerospace Engineering and Engineering Mechanics, 210, East 24th Street, Austin, TX 78712 (United States)

Description

Highlights: • Study initiates convergence of transport terms for the discrete Boltzmann equation. • Limiting effects of physical and velocity space discretization are investigated. • Constraints on obtaining a robust, consistent solution for this method are derived. • Implementation of a specific strategy and its effect on the fidelity is demonstrated. The Discrete Velocity Method (DVM) for solving the Boltzmann equation has significant advantages in the modeling of non-equilibrium and near equilibrium flows as compared to other methods in terms of reduced statistical noise, faster solutions and the ability to handle transient flows. Yet the DVM performance for rarefied flow in complex, small-scale geometries, in microelectromechanical (MEMS) devices for instance, is yet to be studied in detail. The present study focuses on the performance of the DVM for locally large Knudsen number flows of argon around sharp corners and other sources for discontinuities in the distribution function. Our analysis details the nature of the solution for some benchmark cases and introduces the concept of solution convergence for the transport terms in the discrete velocity Boltzmann equation. The limiting effects of the velocity space discretization are also investigated and the constraints on obtaining a robust, consistent solution are derived. We propose techniques to maintain solution convergence and demonstrate the implementation of a specific strategy and its effect on the fidelity of the solution for some benchmark cases.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2018.03.023

Additional details

Identifiers

DOI
10.1016/j.jcp.2018.03.023;
PII
S0021999118301839;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
365
Journal Page Range
p. 226-242
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53004115
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
BENCHMARKS; BOLTZMANN EQUATION; DISTRIBUTION FUNCTIONS; EQUILIBRIUM; KNUDSEN FLOW; LIMITING VALUES; MEMS; NOISE; SIMULATION
Descriptors DEC
DIFFERENTIAL EQUATIONS; EQUATIONS; FLUID FLOW; FUNCTIONS; GAS FLOW; INTEGRO-DIFFERENTIAL EQUATIONS; KINETIC EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS

Optional Information

Copyright
Copyright (c) 2018 Elsevier Inc. All rights reserved.