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Filtering by: Creator Almlie, C. Kyle Remove constraint Creator: Almlie, C. Kyle Degree Field Mechanical Engineering Remove constraint Degree Field: Mechanical Engineering

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  • Reducing Biogeochemical Models with an Automated Reduction Method

    Creator:
    Klee, Emily
    Abstract:
    Modeling elementary chemical reactions in ocean fluid dynamics simulations requires significant computing resources, which can be diminished with model reduction techniques. Submesoscale ocean turbulence and biogeochemical reactions in the ocean occur on approximately the same time scale, 105 seconds. This similarity in time scales indicates a strong coupling between these...
    Resource Type:
    Masters Thesis
    Full Text:
    Biogeochemical Models with an Automated Reduction Method Abstract approved: Kyle E. Niemeyer Modeling

  • Computational Investigation on the Effects of Arc Location in Vacuum Arc Remelting

    Creator:
    Soler, Miguel
    Abstract:
    Vacuum arc remelting (VAR) is a secondary melting process for exotic alloys. The main purpose of this process is to increase the input ingot’s physical and chemical homogeneity. This is accomplished through the application of a high current that melts the material through the emergence of electrical arcs that induce...
    Resource Type:
    Masters Thesis
    Full Text:
    : Computational Investigation on the Effects of Arc Location in Vacuum Arc Remelting Abstract approved: Kyle E

  • Testing and design procedures for electric propellant pumps for suborbital bi-propellant rockets

    Creator:
    Verna-Ketel, Dominic
    Abstract:
    An electrically driven propellant pump (HALE E-Pump) was analysed and tested to determine its viability for use in a bi-propellant launch vehicle for the High-Altitude Liquid Engine (HALE) student rocket team at Oregon State University (OSU). The pump, manufactured in 2022 by students in OSU machine shops, was hydrostatically tested...
    Resource Type:
    Honors College Thesis
    Full Text:
    Suborbital Bi-propellant Rockets Abstract approved: Kyle Niemeyer An electrically driven propellant pump

  • GPU-Based Fluid-Structure Interaction using Immersed Boundary Methods

    Creator:
    Minar, Christopher
    Abstract:
    Engineering applications often require fast, accurate solutions of fluid flow around freely moving bodies. The massive parallelism enabled by graphics processing unit (GPU) architecture enables high performance, offering a promising alternative to traditional solver acceleration via multicore central processing units (CPU). However, fully harnessing GPU parallelism requires specialized algorithms and...
    Resource Type:
    Masters Thesis
    Full Text:
    Fluid-Structure Interaction using Immersed Boundary Methods Abstract approved: Kyle Niemeyer

  • Evaluating Stiffness Metrics for Predicting the Cost of Chemical Kinetics Integration

    Creator:
    Alferman, Andrew Thomas
    Abstract:
    Simulations of combustion and reacting flows often encounter stiffness in the equations governing chemical kinetics. Explicit solvers for these ordinary differential equations offer low computational expense, but typically cannot efficiently handle stiff systems. In contrast, implicit methods demand greater expense but offer unconditional stability—as a result, most reactive-flow solvers rely...
    Resource Type:
    Masters Thesis
    Full Text:
    Stiffness Metrics for Predicting the Cost of Chemical Kinetics Integration Abstract approved: Kyle

  • Swept time-space domain decomposition on GPUs and heterogeneous computing systems

    Creator:
    Magee, Daniel J.
    Abstract:
    Modern scientific and engineering problems often require simulations with a level of resolution difficult to achieve in reasonable amounts of time—even in effectively parallelized programs. Therefore, applications that exploit high performance computing (HPC) systems have become invaluable in academia and industry over the past two decades. Addressing the questions that...
    Resource Type:
    Masters Thesis
    Full Text:
    -space domain decomposition on GPUs and heterogeneous computing systems Abstract approved: Kyle

  • Computational Study of Smoldering Combustion in Cellulose and Hemicellulose Mixtures

    Creator:
    Mulky, Tejas Chandrashekhar
    Abstract:
    Due to global warming wildland fires are increasing in frequency and severity. In the case of wildland fires, the major modes of combustion occur include smoldering combustion and flaming combustion. Smoldering combustion occurs most commonly in porous fuels like peat, forest duff, and woody fuels, which are available in abundance...
    Resource Type:
    Masters Thesis
    Full Text:
    : Computational Study of Smoldering Combustion in Cellulose and Hemicellulose Mixtures Abstract approved: Kyle E

  • Predicting Properties of Bio-jet Fuels using Machine Learning and ATR-FTIR Spectroscopy

    Creator:
    Mayer, Morgan A.
    Abstract:
    High-potential molecules derived from biomass sources may suitably replace or supplement traditional nonrenewable hydrocarbon fuels to reduce pollution and fuel processing costs. Due to expensive and time-consuming property testing, models that predict key properties from optical data would initially vet potential additives before investment and bench-scale testing. Attenuated Total Reflection...
    Resource Type:
    Masters Thesis
    Full Text:
    : Kyle E. Niemeyer High-potential molecules derived from biomass sources may suitably replace or supple

  • Generalized Preconditioning to Accelerate Simulations with Large Multiphase Chemical Kinetics Models

    Creator:
    Walker, Anthony S.
    Abstract:
    Combustion emissions produced from burning real transportation fuels have many environmental impacts. However, detailed chemistry across multiple phases, time scales, and thermodynamic conditions make predicting combustion emissions challenging. Detailed modeling of the gas phase alone is prohibitively expensive, due to the large size and stiffness of the kinetic models. The...
    Resource Type:
    Dissertation
    Full Text:
    Models Abstract approved: Kyle E. Niemeyer Combustion emissions produced from burning real

  • Assessing Mass Diffusion Modeling in Premixed Flames

    Creator:
    Fillo, Aaron J.
    Abstract:
    Implementing multicomponent diffusion in numerical combustion studies is computationally expensive due to the challenges involved in computing diffusion coefficients. As a result, mixture-averaged diffusion treatments or simpler methods are used to avoid these costs. However, the accuracy and appropriateness of the mixture-averaged diffusion model has not been verified for three-dimensional...
    Resource Type:
    Dissertation
    Full Text:
    : Assessing Mass Diffusion Modeling in Premixed Flames Abstract approved: Kyle E. Niemeyer Implementing