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    Optical Investigation of the Effects of Ethanol/Gasoline Blends on Spark Assisted HCCI 

    Source: Journal of Engineering for Gas Turbines and Power:;2014:;volume( 136 ):;issue: 008:;page 81507
    Author(s): Fatouraie, Mohammad; Wooldridge, Margaret
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Spark assist (SA) has been demonstrated to extend the operating limits of homogeneous charge compression ignition (HCCI) modes of engine operation. This experimental investigation focuses on the effects of 100% indolene ...
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    In-Cylinder Imaging and Emissions Measurements of Cold-Start Split Injection Strategies 

    Source: Journal of Engineering for Gas Turbines and Power:;2025:;volume( 147 ):;issue: 008:;page 81014-1
    Author(s): Gutierrez, Luis G.; Wooldridge, Margaret S.; Petersen, Benjamin R.; Wooldridge, Steven T.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Strategies to mitigate cold-start emissions are critical to meet stringent standards for particulate and regulated gaseous emissions from direct injection spark ignition (DISI) engines. The objective of the current work ...
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    The Impact of Low Octane Primary Reference Fuel on HCCI Combustion Burn Rates: The Role of Thermal Stratification 

    Source: Journal of Engineering for Gas Turbines and Power:;2017:;volume( 139 ):;issue: 010:;page 102807
    Author(s): Hagen, Luke; Lavoie, George; Wooldridge, Margaret; Assanis, Dennis
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new experimental method was developed which isolated charge composition effects for wide levels of internal exhaust gas recirculation (iEGR) at constant total EGR (tEGR) for homogeneous charge compression ignition (HCCI) ...
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    Genetic Optimization for Engine Combustion System Calibration: A Case Study of Optimization Performance Sensitivity to Algorithm Search Parameters 

    Source: Journal of Energy Resources Technology:;2022:;volume( 144 ):;issue: 008:;page 82308-1
    Author(s): Mansfield, Andrew B.; Chakrapani, Varun; Li, Qingyu; Wooldridge, Margaret S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of genetic optimization algorithms (GOA) has been shown to significantly reduce the resource intensity of engine calibration, motivating investigation into the development of these methods. The objective of this ...
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