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    A Novel Active Optimization Approach for Rapid and Efficient Design Space Exploration Using Ensemble Machine Learning 

    Source: Journal of Energy Resources Technology:;2020:;volume( 143 ):;issue: 003:;page 032307-1
    Author(s): Owoyele, Opeoluwa; Pal, Pinaki
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this work, a novel design optimization technique based on active learning, which involves dynamic exploration and exploitation of the design space of interest using an ensemble of machine learning algorithms, is presented. ...
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    Numerical Analysis of Combustion Dynamics in a Full-Scale Rotating Detonation Rocket Engine Using Large Eddy Simulations 

    Source: Journal of Energy Resources Technology:;2022:;volume( 145 ):;issue: 002:;page 21702-1
    Author(s): Pal, Pinaki; Demir, Sinan; Som, Sibendu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Large eddy simulations (LESs) using detailed chemistry and leveraging adaptive mesh refinement (AMR) are performed to gain insights into the combustion dynamics within a full-scale methane–oxygen nonpremixed rotating ...
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    An Automated Machine Learning-Genetic Algorithm Framework With Active Learning for Design Optimization 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 008:;page 082305-1
    Author(s): Owoyele, Opeoluwa; Pal, Pinaki; Vidal Torreira, Alvaro
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of machine learning (ML)-based surrogate models is a promising technique to significantly accelerate simulation-driven design optimization of internal combustion (IC) engines, due to the high computational cost of ...
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    Direct Numerical Simulation of Partial Fuel Stratification Assisted Lean Premixed Combustion for Assessment of Hybrid G-Equation/Well-Stirred Reactor Model 

    Source: Journal of Engineering for Gas Turbines and Power:;2023:;volume( 145 ):;issue: 005:;page 51018-1
    Author(s): Xu, Chao; Ameen, Muhsin; Pal, Pinaki; Som, Sibendu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Partial fuel stratification (PFS) is a promising fuel injection strategy to stabilize lean premixed combustion in spark-ignition (SI) engines. PFS creates a locally stratified mixture by injecting a fraction of the fuel, ...
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    Assessment of Machine Learning Wall Modeling Approaches for Large Eddy Simulation of Gas Turbine Film Cooling Flows: An a Priori Study 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 146 ):;issue: 008:;page 81019-1
    Author(s): Kumar, Tadbhagya; Pal, Pinaki; Wu, Sicong; Nunno, A. Cody; Owoyele, Opeoluwa; Joly, Michael M.; Tretiak, Dima
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this work, a priori analysis of machine learning (ML) strategies is carried out with the goal of data-driven wall modeling for large eddy simulation (LES) of gas turbine film cooling flows. High-fidelity flow datasets ...
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    Multidimensional Numerical Modeling of Combustion Dynamics in a Non-Premixed Rotating Detonation Engine With Adaptive Mesh Refinement 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 011:;page 0112308-1
    Author(s): Pal, Pinaki; Kumar, Gaurav; Drennan, Scott A.; Rankin, Brent A.; Som, Sibendu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the present work, a novel computational fluid dynamics (CFD) methodology was developed to simulate full-scale non-premixed rotating detonation engines (RDEs). A unique feature of the modeling approach was the incorporation ...
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    Large-Eddy Simulation Study of Flow and Combustion Dynamics in a Full-Scale Hydrogen–Air Rotating Detonation Combustor-Stator Integrated System 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 003:;page 31002-1
    Author(s): Pal, Pinaki; Braun, James; Wang, Yiqing; Athmanathan, Venkat; Paniagua, Guillermo; Meyer, Terrence R.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the present work, a first-of-its-kind three-dimensional (3D) large-eddy simulation (LES) study is conducted to numerically investigate the combustion dynamics as well as aero-thermal phenomena in a full-scale nonpremixed ...
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    Multidimensional Numerical Simulations of Knocking Combustion in a Cooperative Fuel Research Engine 

    Source: Journal of Energy Resources Technology:;2018:;volume 140:;issue 010:;page 102205
    Author(s): Pal, Pinaki; Wu, Yunchao; Lu, Tianfeng; Som, Sibendu; See, Yee Chee; Le Moine, Alexandra
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A numerical approach was developed based on multidimensional computational fluid dynamics (CFD) to predict knocking combustion in a cooperative fuel research (CFR) engine. G-equation model was employed to track the turbulent ...
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    Numerical Analysis of Fuel Effects on Advanced Compression Ignition Using a Cooperative Fuel Research Engine Computational Fluid Dynamics Model 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 010:;page 102304-1
    Author(s): Kalvakala, Krishna; Pal, Pinaki; Wu, Yunchao; Kukkadapu, Goutham; Kolodziej, Christopher; Gonzalez, Jorge Pulpeiro; Waqas, Muhammad Umer; Lu, Tianfeng; Aggarwal, Suresh K.; Som, Sibendu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Growing environmental concerns and demand for a better fuel economy are driving forces that motivate the research for more advanced engines. Multi-mode combustion strategies have gained attention for their potential to ...
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    Numerical Investigation of a Central Fuel Property Hypothesis Under Boosted Spark-Ignition Conditions 

    Source: Journal of Energy Resources Technology:;2020:;volume( 143 ):;issue: 003:;page 032305-1
    Author(s): Pal, Pinaki; Kalvakala, Krishna; Wu, Yunchao; McNenly, Matthew; Lapointe, Simon; Whitesides, Russell; Lu, Tianfeng; Aggarwal, Suresh K.; Som, Sibendu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the present work, a central fuel property hypothesis (CFPH), which states that fuel properties are sufficient to provide an indication of a fuel’s performance irrespective of its chemical composition, was numerically ...
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