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Filtering by: Creator Daly, Kendra L. Remove constraint Creator: Daly, Kendra L. Advisor Niemeyer, Kyle E. Remove constraint Advisor: Niemeyer, Kyle E. Degree Field Mechanical Engineering Remove constraint Degree Field: Mechanical Engineering

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  • Chemometrics-based Approach for Predicting Low Temperature Combustion Engine Fuel Performance

    Creator:
    Daly, Shane
    Abstract:
    Low temperature combustion (LTC) engines offer improved efficiency and reduced emissions over traditional gasoline spark-ignited and diesel compression-ignition engines. The ability to produce fuels optimized for LTC engines could help increase efficiency and therefore improve fuel economy, insomuch that Federal fuel economy standards could be met. Currently, a fuel performance...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Shane Daly for the degree of Master of Science in Mechanical

  • 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:
    〉 normalized using the laminar flame thickness, δL. The inset shows 〈χ̃|T 〉 normalized by δL

  • Development and Application of a Reduced Chemical Kinetics Model for Low-Speed Pre-Ignition Investigation

    Creator:
    Tran, Khang NV.
    Abstract:
    Gasoline direct injection engines, with downsized boosted technology, present a promising option for enhancing power density and reducing fuel consumption for next-generation engine designs to meet stringent fuel economy and emission standards. However, these developments in the low-speed and high-load operating regime are challenged by the occurrence of a new...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Christopher L. Hagen Kyle E. Niemeyer Gasoline direct injection engines, with downsized

  • 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:
    results in orthogonal, uncorrelated principal components as the new independent variables. Daly et al. [66