Efficient numerical methods for solving the Boltzmann equation for low-speed flows

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.

Bibliographic Details
Main Author: Baker, Lowell L. (Lowell Lane), 1980-
Other Authors: Nicolas G. Hadjiconstantinou.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/17922
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author Baker, Lowell L. (Lowell Lane), 1980-
author2 Nicolas G. Hadjiconstantinou.
author_facet Nicolas G. Hadjiconstantinou.
Baker, Lowell L. (Lowell Lane), 1980-
author_sort Baker, Lowell L. (Lowell Lane), 1980-
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.
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spelling mit-1721.1/179222019-04-11T07:56:49Z Efficient numerical methods for solving the Boltzmann equation for low-speed flows Baker, Lowell L. (Lowell Lane), 1980- Nicolas G. Hadjiconstantinou. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004. Includes bibliographical references (leaves 66-67). When the Knudsen number, typically defined as the ratio of the molecular mean free path to the characteristic length scale of a dilute gas flow, is larger than approximately 0.1, the Navier-Stokes equations are no longer valid. In this case, which is frequently encountered in small-scale flows, one must solve the more general Boltzmann equation. The objective of this work is to develop a method which requires a lower computational cost than existing methods for low speed flows. This thesis describes and analyzes the performance of a method to solve the Boltzmann equation for dilute gas flows by a direct numerical method rather than by the more prevalent stochastic molecular simulation approach. In this work, the evaluation of the collision integral of the Boltzmann equation is performed using a quasi-random Monte Carlo integration approach for faster convergence. In addition, interpolation is used to reduce the effect of discretization errors. We find that cubic interpolation leads to accurate solutions which exhibit excellent conservation properties, thus eliminating the need for an artificial correction step. The use of quasi-random sequences is shown to provide a significant speedup, which increases as the discretization becomes finer. For the problems investigated here, the maximum speedup observed is on the order of four. by Lowell Baker. S.M. 2005-06-02T19:11:49Z 2005-06-02T19:11:49Z 2004 2004 Thesis http://hdl.handle.net/1721.1/17922 56794692 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 67 leaves 2715931 bytes 2715735 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Baker, Lowell L. (Lowell Lane), 1980-
Efficient numerical methods for solving the Boltzmann equation for low-speed flows
title Efficient numerical methods for solving the Boltzmann equation for low-speed flows
title_full Efficient numerical methods for solving the Boltzmann equation for low-speed flows
title_fullStr Efficient numerical methods for solving the Boltzmann equation for low-speed flows
title_full_unstemmed Efficient numerical methods for solving the Boltzmann equation for low-speed flows
title_short Efficient numerical methods for solving the Boltzmann equation for low-speed flows
title_sort efficient numerical methods for solving the boltzmann equation for low speed flows
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/17922
work_keys_str_mv AT bakerlowellllowelllane1980 efficientnumericalmethodsforsolvingtheboltzmannequationforlowspeedflows