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  • Computational Modeling of Smoldering Combustion in Wildland Fuels

    Creator:
    Jayasuriya, Waduge Jayani A.
    Abstract:
    Smoldering combustion in wildland fires is a critical phenomenon that needs in-depth study because it can initiate with weaker ignition sources, can persist for long periods, is difficult to suppress, and can transit to flaming combustion. Cellulose, hemicellulose, and lignin are the major organic constituents within biomass, in varying proportions...
    Resource Type:
    Dissertation
    Full Text:
    approved: Kyle E. Niemeyer Smoldering combustion in wildland fires is a critical phenomenon that needs in

  • 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

  • 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

  • Comparing Chemical Kinetic Model Reduction Techniques Using pyMARS

    Creator:
    Mestas, Phillip O., III
    Abstract:
    Accurately modeling the chemistry of conventional and alternative liquid transportation fuels in combustion technology is vital to predicting important quantities such as the burning rate, heat release, and pollutant emissions. However, incorporating detailed chemical kinetic models into reactive-flow simulations poses a significant challenge due to the associated high computational expense...
    Resource Type:
    Honors College Thesis
    Full Text:
    Using pyMARS Abstract approved: Kyle Niemeyer Accurately modeling the chemistry of conventional and

  • An Improved Chemical Kinetic Model Reduction in pyMARS for Liquid Propellants

    Creator:
    Moore, Cailin J.
    Abstract:
    The aerospace industry uses chemical kinetic models when designing propulsion systems to acquire specific details about the rate of chemical reactions, heat release, and combustion stability. These models, however, are too large and stiff to be useful as they can take weeks to run computations on. The pyMARS python package...
    Resource Type:
    Honors College Thesis
    Full Text:
    Liquid Propellants Abstract approved: Kyle Niemeyer The aerospace industry uses chemical kinetic

  • 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:
    Chandrashekhar Mulky and Kyle E. Niemeyer Proceedings of the Combustion Institute, in press, 2019. https

  • Soot Modeling: GPU Accelerated Direct Simulation Monte Carlo

    Creator:
    Lorson, Paige
    Abstract:
    For this project, we designed a soot modeling software to produce a full particle density function. This model uses the Direct Simulation Monte Carlo with a full conditioning particle selection method to capture soot nucleation and coagulation in a diffusion flame. We investigate the use of graphic processing units as...
    Resource Type:
    Capstone Project
    Full Text:
    . Title: Soot Modeling: GPU Accelerated Direct Simulation Monte Carlo Abstract approved: Dr. Kyle

  • 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

  • Electric Actuation of the Main Flight Valves of a Small Bi-Propellant Liquid Engine

    Creator:
    Edgerton, Jacob M.
    Abstract:
    The High Altitude Liquid Engine (HALE) team is developing of a 2000 lbf thrust liquid propellant engine for a flight vehicle capable of breaching the Karman Line (100 km in altitude). As part the development of this flight vehicle, this research focuses on the design and characterization of a novel...
    Resource Type:
    Honors College Thesis
    Full Text:
    Small Bi-Propellant Liquid Engine Abstract approved: Kyle Niemeyer The High Altitude Liquid Engine

  • Simulating Soot Formation and Growth using a Parallel Coupled Monte Carlo Method

    Creator:
    Peters, Jordan
    Abstract:
    Small hydrocarbon particles such as soot and soot precursors pose a serious threat to human health and Earth's climate. Understanding the mechanisms by which soot particles form and grow is the first step to reducing the prevalence of these particles. Computational simulations are used to investigate combusting systems which are...
    Resource Type:
    Masters Thesis
    Full Text:
    : Simulating Soot Formation and Growth using a Parallel Coupled Monte Carlo Method Abstract approved: Kyle E