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    Study of Injector Geometry and Parcel Injection Location on Spray Simulation of the Engine Combustion Network Spray G Injector 

    Source: Journal of Engineering for Gas Turbines and Power:;2023:;volume( 145 ):;issue: 007:;page 71012-1
    Author(s): Kumar, Aman; Van Dam, Noah
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Parcel-based simulations are the most common method to simulate fuel sprays, especially for reacting conditions, due to their lower computational cost compared to more highly resolved simulations. It is important, however, ...
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    Accelerating Chemical Kinetics Calculations With Physics Informed Neural Networks 

    Source: Journal of Engineering for Gas Turbines and Power:;2023:;volume( 145 ):;issue: 009:;page 91008-1
    Author(s): Almeldein, Ahmed; Van Dam, Noah
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Detailed chemical kinetics calculations can be very computationally expensive, and so various approaches have been used to speed up combustion calculations. Deep neural networks (DNNs) are one promising approach that has ...
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    Understanding In-Cylinder Flow Variability Using Large-Eddy Simulations 

    Source: Journal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 010:;page 102809
    Author(s): Van Dam, Noah; Rutland, Chris
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multicycle large-eddy simulations (LES) of motored flow in an optical engine housed at the University of Michigan have been performed. The simulated flow field is compared against particle image velocimetry (PIV) data in ...
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    Large-Eddy Simulation Study of Injector Geometry and Parcel Injection Location on Spray Simulation of the Engine Combustion Network Spray G Injector 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 146 ):;issue: 008:;page 81003-1
    Author(s): Kumar, Aman; Boussom, Justin A; Van Dam, Noah
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Recent improvements in computing power and numerical techniques have enabled us resolve minute details of spray plume behavior and its wall boundary interactions, and made detailed spray simulations using large-eddy ...
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    Artificial Neural Network Models for Octane Number and Octane Sensitivity: A Quantitative Structure Property Relationship Approach to Fuel Design 

    Source: Journal of Energy Resources Technology:;2023:;volume( 145 ):;issue: 010:;page 102302-1
    Author(s): SubLaban, Amina; Kessler, Travis J.; Van Dam, Noah; Mack, J. Hunter
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Octane sensitivity (OS), defined as the research octane number (RON) minus the motor octane number (MON) of a fuel, has gained interest among researchers due to its effect on knocking conditions in internal combustion ...
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    DSpace software copyright © 2002-2015  DuraSpace
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