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Proceedings Papers

Profile Loss Reduction of High Lift Turbine Blades With Rough and Ribbed Surfaces

S. M. Ananth, Massimiliano Nardini, Aditya Vaid, Richard D. Sandberg, Nagabhushana Rao Vadlamani
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A026, June 13–17, 2022
Paper No: GT2022-82558
DOI: https://doi.org/10.1115/GT2022-82558
View Paper titled, Profile Loss Reduction of High Lift Turbine Blades With Rough and Ribbed Surfaces
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Topics: Surface roughness, Turbine blades, Blades, Turbulence, Boundary layers, Pressure gradient, Separation (Technology), Suction, Boundary layer turbulence, Bubbles
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
View Paper titled, Multi-Objective Development of Machine-Learnt Closures for Fully Integrated Transition and Wake Mixing Predictions in Low Pressure Turbines
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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

Highly Resolved Large-Eddy Simulations of a Transonic Compressor Stage Midspan Section Part I: Effect of Inflow Disturbances

Christoph Bode, Pawel J. Przytarski, John Leggett, Richard D. Sandberg
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A011, June 13–17, 2022
Paper No: GT2022-81673
DOI: https://doi.org/10.1115/GT2022-81673
View Paper titled, Highly Resolved Large-Eddy Simulations of a Transonic Compressor Stage Midspan Section Part I: Effect of Inflow Disturbances
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Topics: Compressors, Inflow, Large eddy simulation, Shock (Mechanics), Boundary layers, Rotors, Suction, Flow (Dynamics), Stators, Turbulence
Proceedings Papers

High-Fidelity Simulation Study of the Unsteady Flow Effects on High-Pressure Turbine Blade Performance

John Leggett, Yaomin Zhao, Richard D. Sandberg
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A018, June 13–17, 2022
Paper No: GT2022-82370
DOI: https://doi.org/10.1115/GT2022-82370
View Paper titled, High-Fidelity Simulation Study of the Unsteady Flow Effects on High-Pressure Turbine Blade Performance
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Topics: High pressure (Physics), Simulation, Turbine blades, Unsteady flow, Turbulence, Blades, Rotors, Wakes, Boundary layers, Flow (Dynamics)
Journal Articles

Profile Loss Reduction of High-Lift Turbine Blades With Rough and Ribbed Surfaces

Ananth Sivaramakrishnan Malathi, Massimiliano Nardini, Aditya Vaid, Nagabhushana Rao Vadlamani, Richard D. Sandberg
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. February 2023, 145(2): 021001.
Paper No: TURBO-22-1214
DOI: https://doi.org/10.1115/1.4055501
Published Online: October 11, 2022
View Article titled, Profile Loss Reduction of High-Lift Turbine Blades With Rough and Ribbed Surfaces
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Topics: Boundary layers, Flow (Dynamics), Pressure gradient, Suction, Surface roughness, Turbulence, Simulation, Skin friction (Fluid dynamics), Turbine blades, Shapes
Journal Articles

High-Fidelity Simulation Study of the Unsteady Flow Effects on High-Pressure Turbine Blade Performance

John Leggett, Yaomin Zhao, Richard D. Sandberg
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. January 2023, 145(1): 011002.
Paper No: TURBO-22-1215
DOI: https://doi.org/10.1115/1.4055576
Published Online: October 3, 2022
View Article titled, High-Fidelity Simulation Study of the Unsteady Flow Effects on High-Pressure Turbine Blade Performance
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Topics: Blades, Boundary layers, Flow (Dynamics), Pressure, Rotors, Stators, Suction, Turbulence, Wakes, High pressure (Physics)
Journal Articles

Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems

James Hammond, Francesco Montomoli, Marco Pietropaoli, Richard D. Sandberg, Vittorio Michelassi
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. August 2022, 144(8): 081003.
Paper No: TURBO-20-1174
DOI: https://doi.org/10.1115/1.4053533
Published Online: March 3, 2022
View Article titled, Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems
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Topics: Anisotropy, Design, Errors, Flow (Dynamics), Geometry, Heat transfer, Reynolds-averaged Navier–Stokes equations, Tensors, Testing, Turbulence
Proceedings Papers

Highly Resolved Simulations of a CDA Compressor Cascade: Effect of Reynolds Number on Losses

John Leggett, Richard D. Sandberg
Proc. ASME. GT2021, Volume 2A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V02AT31A009, June 7–11, 2021
Paper No: GT2021-58665
DOI: https://doi.org/10.1115/GT2021-58665
View Paper titled, Highly Resolved Simulations of a CDA Compressor Cascade: Effect of Reynolds Number on Losses
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Topics: Cascades (Fluid dynamics), Compressors, Engineering simulation, Reynolds number, Simulation, Blades, Geometry, Wakes, Airfoils, Boundary layers
Proceedings Papers

High-Fidelity Simulations of a High-Pressure Turbine Vane With End Walls: Impact of Secondary Structures and Spanwise Temperature Profiles on Losses

Yaomin Zhao, Richard D. Sandberg
Proc. ASME. GT2021, Volume 2B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing, V02BT32A002, June 7–11, 2021
Paper No: GT2021-58816
DOI: https://doi.org/10.1115/GT2021-58816
View Paper titled, High-Fidelity Simulations of a High-Pressure Turbine Vane With End Walls: Impact of Secondary Structures and Spanwise Temperature Profiles on Losses
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Topics: Engineering simulation, High pressure (Physics), Simulation, Temperature profiles, Turbines, Boundary layers, Blades, Pressure, Suction, Combustion chambers
Proceedings Papers

High-Fidelity Simulations of a High-Pressure Turbine Stage: Effects of Reynolds Number and Inlet Turbulence

Yaomin Zhao, Richard D. Sandberg
Proc. ASME. GT2021, Volume 2B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing, V02BT32A004, June 7–11, 2021
Paper No: GT2021-58995
DOI: https://doi.org/10.1115/GT2021-58995
View Paper titled, High-Fidelity Simulations of a High-Pressure Turbine Stage: Effects of Reynolds Number and Inlet Turbulence
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Topics: Engineering simulation, High pressure (Physics), Reynolds number, Simulation, Turbines, Turbulence, Rotors, Wakes, Blades, Flow (Dynamics)
Proceedings Papers

Turbomachinery Loss Analysis: The Relationship Between Mechanical Work Potential and Entropy Analyses

John Leggett, Yaomin Zhao, Edward S. Richardson, Richard D. Sandberg
Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A023, June 7–11, 2021
Paper No: GT2021-59436
DOI: https://doi.org/10.1115/GT2021-59436
View Paper titled, Turbomachinery Loss Analysis: The Relationship Between Mechanical Work Potential and Entropy Analyses
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Topics: Entropy, Turbomachinery, Energy dissipation, High pressure (Physics), Simulation, Turbulence, Compressors, Computational fluid dynamics, Physics, Pressure
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
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. December 2021, 143(12): 121001.
Paper No: TURBO-20-1427
DOI: 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
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Topics: Blades, Computational fluid dynamics, Reynolds-averaged Navier–Stokes equations, Turbines, Wakes, Flow (Dynamics), Turbulence, Pressure, Model development, Machine learning
Journal Articles

Large-Eddy Simulations of High Rossby Number Flow in the High-Pressure Compressor Inter-Disk Cavity

Deepak Saini, Richard D. Sandberg
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. November 2021, 143(11): 111002.
Paper No: TURBO-20-1206
DOI: https://doi.org/10.1115/1.4050951
Published Online: June 15, 2021
View Article titled, Large-Eddy Simulations of High Rossby Number Flow in the High-Pressure Compressor Inter-Disk Cavity
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Topics: Cavities, Disks, Flow (Dynamics), Compressors, High pressure (Physics), Vortices, Buoyancy, Large eddy simulation, Heat transfer
Journal Articles

High-Fidelity Simulations of a High-Pressure Turbine Vane Subject to Large Disturbances: Effect of Exit Mach Number on Losses

Yaomin Zhao, Richard D. Sandberg
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. September 2021, 143(9): 091002.
Paper No: TURBO-20-1392
DOI: https://doi.org/10.1115/1.4050453
Published Online: May 3, 2021
View Article titled, High-Fidelity Simulations of a High-Pressure Turbine Vane Subject to Large Disturbances: Effect of Exit Mach Number on Losses
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Topics: Blades, Boundary layers, Entropy, Flow (Dynamics), Mach number, Shock (Mechanics), Simulation, Turbulence, Turbines, Pressure
Journal Articles

High-Fidelity Simulations of Multi-Jet Impingement Cooling Flows

J. Javier Otero-Pérez, Richard D. Sandberg, Satoshi Mizukami, Koichi Tanimoto
Journal: Journal of Turbomachinery
Article Type: Research Papers
J. Turbomach. August 2021, 143(8): 081011.
Paper No: TURBO-20-1346
DOI: https://doi.org/10.1115/1.4050446
Published Online: May 3, 2021
View Article titled, High-Fidelity Simulations of Multi-Jet Impingement Cooling Flows
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Topics: Cross-flow, Flow (Dynamics), Heat transfer, Impingement cooling, Inflow, Simulation, Turbulence, Jets, Deflection
Proceedings Papers

High-Fidelity Simulations of Multi-Jet Impingement Cooling Flows

J. Javier Otero-Pérez, Richard D. Sandberg, Satoshi Mizukami, Koichi Tanimoto
Proc. ASME. GT2020, Volume 7A: Heat Transfer, V07AT15A011, September 21–25, 2020
Paper No: GT2020-14728
DOI: https://doi.org/10.1115/GT2020-14728
View Paper titled, High-Fidelity Simulations of Multi-Jet Impingement Cooling Flows
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Topics: Engineering simulation, Flow (Dynamics), Impingement cooling, Simulation, Cross-flow, Heat transfer, Turbulence, Inflow, Computer simulation, Deflection
Proceedings Papers

High-Fidelity Simulations of a High-Pressure Turbine Vane Subject to Large Disturbances: Effect of Exit Mach Number on Losses

Yaomin Zhao, Richard D. Sandberg
Proc. ASME. GT2020, Volume 2B: Turbomachinery, V02BT33A007, September 21–25, 2020
Paper No: GT2020-14445
DOI: https://doi.org/10.1115/GT2020-14445
View Paper titled, High-Fidelity Simulations of a High-Pressure Turbine Vane Subject to Large Disturbances: Effect of Exit Mach Number on Losses
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Topics: Engineering simulation, High pressure (Physics), Mach number, Simulation, Turbines, Blades, Turbulence, Boundary layers, Flow (Dynamics), Shock (Mechanics)
Proceedings Papers

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

Harshal D. Akolekar, Yaomin Zhao, Richard D. Sandberg, Roberto Pacciani
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A020, September 21–25, 2020
Paper No: GT2020-14732
DOI: https://doi.org/10.1115/GT2020-14732
View Paper titled, Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Turbine Wake Mixing Prediction
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Topics: Computational fluid dynamics, Machine learning, Turbines, Turbulence, Wakes, Reynolds-averaged Navier–Stokes equations, Model development, Computer programming, Diffusion (Physics), Modeling
Proceedings Papers

Machine Learning for the Development of Data Driven Turbulence Closures in Coolant Systems

James Hammond, Francesco Montomoli, Marco Pietropaoli, Richard D. Sandberg, Vittorio Michelassi
Proc. ASME. GT2020, Volume 7A: Heat Transfer, V07AT15A026, September 21–25, 2020
Paper No: GT2020-15928
DOI: https://doi.org/10.1115/GT2020-15928
View Paper titled, Machine Learning for the Development of Data Driven Turbulence Closures in Coolant Systems
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Topics: Coolants, Machine learning, Turbulence, Design, Cooling, Geometry, Heat transfer, Reynolds-averaged Navier–Stokes equations, Additive manufacturing, Computer programming
Proceedings Papers

Unsteady Simulations of a Trailing-Edge Slot Using Machine-Learnt Turbulence Stress and Heat-Flux Closures

Chitrarth Lav, Richard D. Sandberg
Proc. ASME. GT2020, Volume 7B: Heat Transfer, V07BT12A012, September 21–25, 2020
Paper No: GT2020-14398
DOI: https://doi.org/10.1115/GT2020-14398
View Paper titled, Unsteady Simulations of a Trailing-Edge Slot Using Machine-Learnt Turbulence Stress and Heat-Flux Closures
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Topics: Engineering simulation, Heat flux, Machinery, Simulation, Stress, Turbulence, Flow (Dynamics), Anisotropy, Machine learning, Reynolds-averaged Navier–Stokes equations