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    From Pressure Time Series Data to Flame Transfer Functions: A Framework for Perfectly Premixed Swirling Flames 

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 145 ):;issue: 001:;page 11005-1
    Author(s): Ghani, Abdulla; Albayrak, Alp
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We present a two-step optimization (TSO) framework, which uses the pressure data of an unstable combustion process to estimate the complex-valued flame transfer function (FTF). From the pressure time series, we obtain the ...
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    Image-Based Flashback Detection in a Hydrogen-Fired Gas Turbine Using a Convolutional Autoencoder 

    Source: Journal of Engineering for Gas Turbines and Power:;2025:;volume( 147 ):;issue: 008:;page 81015-1
    Author(s): Porath, Paul; Yadav, Vikas; Panek, Lukasz; Ghani, Abdulla
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Flame flashback (FB) is a major concern in hydrogen-fired gas turbines. In order to determine the flashback propensity of a hydrogen burner, several burner design tests at different operating points and fuel blends are ...
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    Hybrid Surrogate Modeling Approach for Data Reduction and Design Space Exploration of Turbine Blades 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 007:;page 71004-1
    Author(s): Ali, Sazeed S.; Yadav, Vikas S.; Nouri, Behnam; Ghani, Abdulla
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The conventional iterative optimization of turbine blades using computer-aided engineering simulations is resource-intensive, with high costs and time demands, as well as significant challenges in computational requirements ...
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    Evaluation of Data-Driven Classifiers for an Ignition Forecast of Large Gas Turbines 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 002:;page 21007-1
    Author(s): Lang, Florian; Savtschenko, Maximilian; Yadav, Vikas; Ghani, Abdulla
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Prediction of successful ignition is a challenging task that requires knowledge of the local thermochemical state in highly turbulent flow conditions. For typical industrial gas turbine (GTs) conditions operated on active ...
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    Quantification and Propagation of Uncertainties in Identification of Flame Impulse Response for Thermoacoustic Stability Analysis 

    Source: Journal of Engineering for Gas Turbines and Power:;2019:;volume( 141 ):;issue: 002:;page 21032
    Author(s): Guo, Shuai; Silva, Camilo F.; Ghani, Abdulla; Polifke, Wolfgang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The thermoacoustic behavior of a combustion system can be determined numerically via acoustic tools such as Helmholtz solvers or network models coupled with a model for the flame dynamic response. Within such a framework, ...
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