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Journal Articles

Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Low-Pressure Turbine Wake Mixing Prediction

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

Publisher: ASME

J. Turbomach. December 2021, 143(12): 121001.

Paper No: TURBO-20-1427

https://doi.org/10.1115/1.4051417

Published Online: June 23, 2021

View Article titled, Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Low-Pressure Turbine Wake Mixing Prediction

Topics: Blades, Computational fluid dynamics, Reynolds-averaged Navier–Stokes equations, Turbines, Wakes, Flow (Dynamics), Turbulence, Pressure, Model development, Machine learning

Journal Articles

Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions

H. D. Akolekar, R. D. Sandberg, N. Hutchins, V. Michelassi, G. Laskowski

Publisher: ASME

J. Turbomach. October 2019, 141(10): 101009.

Paper No: TURBO-18-1305

https://doi.org/10.1115/1.4043907

Published Online: September 30, 2019

View Article titled, Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions

Topics: Errors, Flow (Dynamics), Physics, Turbulence, Wakes, Inflow, Approximation, Locks (Waterways), Model development, Pressure

Journal Articles

Aircraft Engine Committee Best 1993 Paper Award: Control-Oriented High-Frequency Turbomachinery Modeling: General One-Dimensional Model Development

O. O. Badmus, K. M. Eveker, C. N. Nett

Publisher: ASME

J. Turbomach. July 1995, 117(3): 320–335.

https://doi.org/10.1115/1.2835666

Published Online: July 1, 1995

View Article titled, Aircraft Engine Committee Best 1993 Paper Award: Control-Oriented High-Frequency Turbomachinery Modeling: General One-Dimensional Model Development

Topics: Aircraft engines, Model development, Modeling, Turbomachinery, Combustion, Compression, Engines, Flow (Dynamics), Heat, Turbojets

Journal Articles

Blade Vibration With Nonlinear Tip Constraint: Model Development

L. F. Wagner, J. H. Griffin

Publisher: ASME

J. Turbomach. October 1990, 112(4): 778–785.

https://doi.org/10.1115/1.2927721

Published Online: October 1, 1990

View Article titled, Blade Vibration With Nonlinear Tip Constraint: Model Development

Topics: Blades, Model development, Vibration, Disks, Excitation, Stress, Turbine blades

Journal citation

NARROW

Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Low-Pressure Turbine Wake Mixing Prediction

Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions

Aircraft Engine Committee Best 1993 Paper Award: Control-Oriented High-Frequency Turbomachinery Modeling: General One-Dimensional Model Development

Blade Vibration With Nonlinear Tip Constraint: Model Development

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Low-Pressure Turbine Wake Mixing Prediction

Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions

Aircraft Engine Committee Best 1993 Paper Award: Control-Oriented High-Frequency Turbomachinery Modeling: General One-Dimensional Model Development

Blade Vibration With Nonlinear Tip Constraint: Model Development

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

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