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    Development and Analysis of a Gravity-Simulated Particle-Packing Algorithm for Modeling Optimized Rocket Propellants

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    Thesis defense presentation (PDF) (1.537Mb)
    Issue Date
    2007-12-13
    Author
    Stockmyer, Mark
    Publisher
    University of Kansas
    Format
    108 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Electrical Engineering & Computer Science
    Rights
    This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
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    Abstract
    The random heterogeneous morphology of modern solid rocket propellant formulations has traditionally been difficult to characterize and quantify. Current computational simulations of these formulations require an accurate description of the packing arrangement in order to correctly model the complex geometric effects that stem from the random morphology. A new and novel computational packing algorithm was invented, implemented, and analyzed using various particle starting arrangements. This was intended to be fast for use in combinatorial chemistry applications and to provide a numerical representation of the material for use with other computational tools, including codes that predict combustion behavior. The packing algorithms were evaluated using homogeneous distributions of spherical particles. Both the Radial Distribution Function (RDF) and the packing fraction were used to evaluate the validity of the invented algorithm.
    URI
    http://hdl.handle.net/1808/1976
    Collections
    • Engineering Dissertations and Theses [1055]
    • Theses [3827]

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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