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Proceedings Papers

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

Patrick Amstad, Kwok Kai So, Magnus Fischer

Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A002, June 13–17, 2022

Paper No: GT2022-78306

DOI: https://doi.org/10.1115/GT2022-78306

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Topics: Compressors, Machine learning, Optimization, Turbochargers, Turbulence, Artificial neural networks, Diffusers, Errors, Flow (Dynamics), Pressure

Proceedings Papers

Development of Machine-Learnt Turbulence Closures for Wake Mixing Predictions in Low-Pressure Turbines

Yuri Frey Marioni, Paolo Adami, Raul Vazquez Diaz, Andrea Cassinelli, Spencer Sherwin, Francesco Montomoli

Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A032, June 13–17, 2022

Paper No: GT2022-82531

DOI: https://doi.org/10.1115/GT2022-82531

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Topics: Machinery, Pressure, Turbines, Turbulence, Wakes, Artificial neural networks, Aircraft engines, Algebra, Flow (Dynamics), Kinetic energy

Proceedings Papers

Multi-Objective Development of Machine-Learnt Closures for Fully Integrated Transition and Wake Mixing Predictions in Low Pressure Turbines

Harshal D. Akolekar, Fabian Waschkowski, Roberto Pacciani, Yaomin Zhao, Richard D. Sandberg

Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A013, June 13–17, 2022

Paper No: GT2022-81091

DOI: https://doi.org/10.1115/GT2022-81091

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Topics: Machinery, Pressure, Turbines, Wakes, Blades, Computational fluid dynamics, Machine learning, Boundary layers, Reynolds number, Reynolds-averaged Navier–Stokes equations

Proceedings Papers

Estimation of Dynamical Thermoacoustic Modes Using an Output Only Observer Kalman Filter-Based Identification (O 3 KID) Algorithm

Nikhil Balasubramanian, Driek Rouwenhorst, Jakob Hermann

Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A001, June 13–17, 2022

Paper No: GT2022-80650

DOI: https://doi.org/10.1115/GT2022-80650

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Topics: Algorithms, Filters, Modeling, Dynamics (Mechanics), Noise (Sound), Combustion, Kalman filters, Combustion chambers, Damping, Gas turbines

Proceedings Papers

A Computational Investigation of Wall-Film Formation by an Impinging Liquid Jet in Crossflow

Gina M. Magnotti, Brandon A. Sforzo, Christopher F. Powell

Proc. ASME. GT2022, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A030, June 13–17, 2022

Paper No: GT2022-80993

DOI: https://doi.org/10.1115/GT2022-80993

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Topics: Adhesion, Algebra, Aluminum plate, Bubbles, Combustion, Combustion chambers, Emissions, Film thickness, Fluids, Fuels

Proceedings Papers

Numerical Investigation of Air-Oil Two-Phase Flow Pattern Transition in the Scavenge Line of an Aeroengine

Ghofrane Sekrani, Jean-Sebastien Dick, Sébastien Poncet, Sravankumar Nallamothu

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T01A009, June 7–11, 2021

Paper No: GT2021-58988

DOI: https://doi.org/10.1115/GT2021-58988

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Topics: Two-phase flow, Flow (Dynamics), Modeling, Fluids, Porosity, Turbulence, Air flow, Algebra, Calibration, Compressibility

Proceedings Papers

Development of Turbulent Quantities Inside an Axial Turbine Vane

Stephan Behre, Dragan Kožulović, Christian Hösgen, Peter Jeschke

Proc. ASME. GT2021, Volume 2B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing, V02BT32A014, June 7–11, 2021

Paper No: GT2021-60013

DOI: https://doi.org/10.1115/GT2021-60013

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Topics: Turbines, Turbulence, Stators, Kinetic energy, Wire, Algebra, Anisotropy, Axial flow, Computational fluid dynamics, Engineering simulation

Proceedings Papers

Efficiency Maximization of Allam Cycle at a Given Combustion Temperature

Yousef Haseli

Proc. ASME. GT2021, Volume 10: Supercritical CO2, V010T30A025, June 7–11, 2021

Paper No: GT2021-59962

DOI: https://doi.org/10.1115/GT2021-59962

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Topics: Combustion, Cycles, Modeling, Pressure, Temperature, Turbines, Exhaust systems, Turbochargers, Algebra, Carbon dioxide

Proceedings Papers

Nonlinear Vibration Analysis of Turbine Bladed Disks With Mid-Span Dampers

Erhan Ferhatoglu, Stefano Zucca, Daniele Botto, Jury Auciello, Lorenzo Arcangeli

Proc. ASME. GT2020, Volume 11: Structures and Dynamics: Structural Mechanics, Vibration, and Damping; Supercritical CO2, V011T30A020, September 21–25, 2020

Paper No: GT2020-14942

DOI: https://doi.org/10.1115/GT2020-14942

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Topics: Dampers, Disks, Friction, Nonlinear vibration, Turbines, Vibration, Design, Blades, Damping, Airfoils

Proceedings Papers

Validation of RANS Turbulence Models for Labyrinth Seal Flows by Means of Particle Image Velocimetry

Lars Wein, Tim Kluge, Joerg R. Seume, Rainer Hain, Thomas Fuchs, Christian Kähler, Roman Schmierer, Florian Herbst

Proc. ASME. GT2020, Volume 10A: Structures and Dynamics, V10AT25A015, September 21–25, 2020

Paper No: GT2020-14885

DOI: https://doi.org/10.1115/GT2020-14885

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Topics: Flow (Dynamics), Particulate matter, Reynolds-averaged Navier–Stokes equations, Turbulence, Cavities, Errors, Turbomachinery, Algebra, Computer simulation, Design

Proceedings Papers

Data-Driven Combustion Modeling for a Turbulent Flame Simulated With a Computationally Efficient Solver

Mohsen Talei, Man-Ching Ma, Richard Sandberg

Proc. ASME. GT2020, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A046, September 21–25, 2020

Paper No: GT2020-14843

DOI: https://doi.org/10.1115/GT2020-14843

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Topics: Combustion, Flames, Modeling, Turbulence, Algebra, Density, Flow (Dynamics), Computer programming, Computer simulation, Large eddy simulation

Proceedings Papers

Quantitative Flow Imaging of Film Cooling Jets in a Cross-Flow Using Particle Image Velocimetry and Computational Fluid Dynamics

Robin G. Brakmann, Robin Schöffler, Frank Kocian, Michael Schroll, Christian Willert, Martin Müller, Edmund Kügeler

Proc. ASME. GT2020, Volume 7B: Heat Transfer, V07BT12A069, September 21–25, 2020

Paper No: GT2020-16141

DOI: https://doi.org/10.1115/GT2020-16141

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Topics: Computational fluid dynamics, Cross-flow, Film cooling, Flow (Dynamics), Imaging, Jets, Particulate matter, Turbulence, Algebra, Computer simulation

Proceedings Papers

Developing Secondary Flow and Heat Transfer in the Entrance Region of a Square Channel With 45° Crossed Rib Arrangement

M. Wieler, B. Woerz, P. Jeschke, M. Rabs

Proc. ASME. GT2019, Volume 5A: Heat Transfer, V05AT16A005, June 17–21, 2019

Paper No: GT2019-90801

DOI: https://doi.org/10.1115/GT2019-90801

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Topics: Entrance region, Flow (Dynamics), Heat transfer, Cooling, Stress, Algebra, Blades, Computer simulation, Convection, Copper

Proceedings Papers

A Highly Flexible Approach on the Steady-State Analysis of Innovative Micro Gas Turbine Cycles

Thomas Krummrein, Martin Henke, Peter Kutne

Proc. ASME. GT2018, Volume 3: Coal, Biomass, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T06A004, June 11–15, 2018

Paper No: GT2018-75664

DOI: https://doi.org/10.1115/GT2018-75664

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Topics: Cycles, Micro gas turbines, Steady state, Simulation, Computation, Robustness, Aircraft, Algebra, Brayton cycle, Combustion technologies

Proceedings Papers

Direct Assessment of the Acoustic Scattering Matrix of a Turbulent Swirl Combustor by Combining System Identification, Large Eddy Simulation and Analytical Approaches

Malte Merk, Camilo Silva, Wolfgang Polifke, Renaud Gaudron, Marco Gatti, Clément Mirat, Thierry Schuller

Proc. ASME. GT2018, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A035, June 11–15, 2018

Paper No: GT2018-75529

DOI: https://doi.org/10.1115/GT2018-75529

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Topics: Acoustics, Analytical methods, Combustion chambers, Large eddy simulation, S-matrix theory, Turbulence, Heat, Algebra, Flames, Network models

Proceedings Papers

Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot

R. D. Sandberg, R. Tan, J. Weatheritt, A. Ooi, A. Haghiri, V. Michelassi, G. Laskowski

Proc. ASME. GT2018, Volume 5A: Heat Transfer, V05AT12A007, June 11–15, 2018

Paper No: GT2018-75444

DOI: https://doi.org/10.1115/GT2018-75444

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Topics: Algebra, Machinery, Scalars, Stress, Heat flux, Reynolds-averaged Navier–Stokes equations, Algorithms, Anisotropy, Diffusion (Physics), Geometry

Proceedings Papers

Robust Method to Solve Meanline Equations for Choked Flows

David Cadrecha, Jose M. Chaquet, Roque Corral, Vicente P. Timon

Proc. ASME. GT2018, Volume 2C: Turbomachinery, V02CT42A005, June 11–15, 2018

Paper No: GT2018-75362

DOI: https://doi.org/10.1115/GT2018-75362

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Topics: Flow (Dynamics), Algebra, Boundary-value problems, Compressors, Mach number, Numerical analysis

Proceedings Papers

Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in LPTs

Harshal D. Akolekar, Jack Weatheritt, Nicholas Hutchins, Richard D. Sandberg, Gregory Laskowski, Vittorio Michelassi

Proc. ASME. GT2018, Volume 2C: Turbomachinery, V02CT42A009, June 11–15, 2018

Paper No: GT2018-75447

DOI: https://doi.org/10.1115/GT2018-75447

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Topics: Algebra, Machinery, Stress, Wakes, Reynolds-averaged Navier–Stokes equations, Turbulence, Flow (Dynamics), Algorithms, Anisotropy, Blades

Proceedings Papers

Methods for the Calculation of Thermoacoustic Stability Margins and Monte Carlo-Free Uncertainty Quantification

Georg A. Mensah, Luca Magri, Jonas P. Moeck

Proc. ASME. GT2017, Volume 4B: Combustion, Fuels and Emissions, V04BT04A048, June 26–30, 2017

Paper No: GT2017-64829

DOI: https://doi.org/10.1115/GT2017-64829

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Topics: Stability, Uncertainty quantification, Uncertainty, Combustion chambers, Eigenvalues, Flames, Gas turbines, Network models, Risk, Algebra

Proceedings Papers

On the Reliability of RANS Turbulence Models for Endwall Cooling Prediction

Xueying Li, Jing Ren, Hongde Jiang

Proc. ASME. GT2017, Volume 5A: Heat Transfer, V05AT12A018, June 26–30, 2017

Paper No: GT2017-65207

DOI: https://doi.org/10.1115/GT2017-65207

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Topics: Cooling, Reliability, Reynolds-averaged Navier–Stokes equations, Turbulence, Film cooling, Heat transfer, Flow (Dynamics), Algebra, Anisotropy, Modeling

NARROW

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

Development of Machine-Learnt Turbulence Closures for Wake Mixing Predictions in Low-Pressure Turbines

Multi-Objective Development of Machine-Learnt Closures for Fully Integrated Transition and Wake Mixing Predictions in Low Pressure Turbines

Estimation of Dynamical Thermoacoustic Modes Using an Output Only Observer Kalman Filter-Based Identification (O 3 KID) Algorithm

A Computational Investigation of Wall-Film Formation by an Impinging Liquid Jet in Crossflow

Numerical Investigation of Air-Oil Two-Phase Flow Pattern Transition in the Scavenge Line of an Aeroengine

Development of Turbulent Quantities Inside an Axial Turbine Vane

Efficiency Maximization of Allam Cycle at a Given Combustion Temperature

Nonlinear Vibration Analysis of Turbine Bladed Disks With Mid-Span Dampers

Validation of RANS Turbulence Models for Labyrinth Seal Flows by Means of Particle Image Velocimetry

Data-Driven Combustion Modeling for a Turbulent Flame Simulated With a Computationally Efficient Solver

Quantitative Flow Imaging of Film Cooling Jets in a Cross-Flow Using Particle Image Velocimetry and Computational Fluid Dynamics

Developing Secondary Flow and Heat Transfer in the Entrance Region of a Square Channel With 45° Crossed Rib Arrangement

A Highly Flexible Approach on the Steady-State Analysis of Innovative Micro Gas Turbine Cycles

Direct Assessment of the Acoustic Scattering Matrix of a Turbulent Swirl Combustor by Combining System Identification, Large Eddy Simulation and Analytical Approaches

Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot

Robust Method to Solve Meanline Equations for Choked Flows

Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in LPTs

Methods for the Calculation of Thermoacoustic Stability Margins and Monte Carlo-Free Uncertainty Quantification

On the Reliability of RANS Turbulence Models for Endwall Cooling Prediction

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