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Journal Articles

The Impact of the Off-Design Conditions on the Entropy Wave Interaction With a High-Pressure Turbine Stage

Accepted Manuscript
Lorenzo Pinelli, Giovanni Giannini, Michele Marconcini, Roberto Pacciani, Andrea Notaristefano, Paolo Gaetani
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach.
Paper No: TURBO-23-1243
https://doi.org/10.1115/1.4064085
Published Online: November 17, 2023
View Article titled, The Impact of the Off-Design Conditions on the Entropy Wave Interaction With a High-Pressure Turbine Stage
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Topics: Design, Entropy, High pressure (Physics), Turbines, Turbochargers, Waves, Emissions, Noise (Sound), Rotors, Combustion chambers
Proceedings Papers

A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low- and High-Pressure Turbines

Yuan Fang, Yaomin Zhao, Harshal D. Akolekar, Andrew S. H. Ooi, Richard D. Sandberg, Roberto Pacciani, Michele Marconcini
Proc. ASME. GT2023, Volume 13C: Turbomachinery — Deposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V13CT32A025, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102902
https://doi.org/10.1115/GT2023-102902
View Paper titled, A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low- and High-Pressure Turbines
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Topics: High pressure (Physics), Kinetic energy, Separation (Technology), Turbines, Computational fluid dynamics, Wakes, Pressure, Turbulence, Acoustics, Blades
Proceedings Papers

On the Feasibility of Helicity-Based Corrections of Turbulence Models for Improving RANS Predictions of Centrifugal Compressor Stages

Alessandro Pela, Michele Marconcini, Andrea Arnone, Lorenzo Toni, Roberto Valente, Andrea Agnolucci, Angelo Grimaldi, Roberto Pacciani
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT35A026, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-103852
https://doi.org/10.1115/GT2023-103852
View Paper titled, On the Feasibility of Helicity-Based Corrections of Turbulence Models for Improving RANS Predictions of Centrifugal Compressor Stages
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Topics: Compressors, Computational fluid dynamics, Helicity, Modeling, Reynolds-averaged Navier–Stokes equations, Turbulence
Proceedings Papers

The Impact of the Off-Design Conditions on the Entropy Wave Interaction With a High-Pressure Turbine Stage

Lorenzo Pinelli, Giovanni Giannini, Michele Marconcini, Roberto Pacciani, Andrea Notaristefano, Paolo Gaetani
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT36A019, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102837
https://doi.org/10.1115/GT2023-102837
View Paper titled, The Impact of the Off-Design Conditions on the Entropy Wave Interaction With a High-Pressure Turbine Stage
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Topics: Design, Entropy, High pressure (Physics), Turbines, Waves, Emissions, Noise (Sound), Rotors, Combustion chambers, Engines
Proceedings Papers

Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures

Roberto Pacciani, Michele Marconcini, Andrea Arnone, Francesco Bertini, Ennio Spano, Simone Rosa Taddei, Richard D. Sandberg
Proc. ASME. GT2023, Volume 13B: Turbomachinery — Axial Flow Turbine Aerodynamics, V13BT30A025, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102985
https://doi.org/10.1115/GT2023-102985
View Paper titled, Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures
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Topics: Machinery, Pressure, Turbines, Wakes, Turbulence, Cascades (Fluid dynamics), Boundary layers, Inflow, Kinetic energy, Modeling
Proceedings Papers

Best-Practice Guidelines for High-Fidelity Simulations Based on Detailed Analysis of a Highly-Loaded Low-Pressure Turbine Cascade

Marco Rosenzweig, Simone Giaccherini, Lorenzo Pinelli, Melissa Kozul, Richard Sandberg, Michele Marconcini, Roberto Pacciani
Proc. ASME. GT2023, Volume 13B: Turbomachinery — Axial Flow Turbine Aerodynamics, V13BT30A021, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102697
https://doi.org/10.1115/GT2023-102697
View Paper titled, Best-Practice Guidelines for High-Fidelity Simulations Based on Detailed Analysis of a Highly-Loaded Low-Pressure Turbine Cascade
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Topics: Cascades (Fluid dynamics), Engineering simulation, Pressure, Simulation, Turbines, Blades, Flow (Dynamics), Large eddy simulation, Wakes, Boundary-value problems
Proceedings Papers

High-Fidelity Simulations and RANS Analysis of a Low-Pressure Turbine Cascade in a Spanwise-Diverging Gas Path - End-Wall Flow Analysis and Loss Generation Mechanisms

Marco Rosenzweig, Melissa Kozul, Richard Sandberg, Michele Marconcini, Roberto Pacciani
Proc. ASME. GT2023, Volume 13B: Turbomachinery — Axial Flow Turbine Aerodynamics, V13BT30A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101039
https://doi.org/10.1115/GT2023-101039
View Paper titled, High-Fidelity Simulations and RANS Analysis of a Low-Pressure Turbine Cascade in a Spanwise-Diverging Gas Path - End-Wall Flow Analysis and Loss Generation Mechanisms
Open the PDF for High-Fidelity Simulations and RANS Analysis of a Low-Pressure Turbine Cascade in a Spanwise-Diverging Gas Path - End-Wall Flow Analysis and Loss Generation Mechanisms in another window
Topics: Cascades (Fluid dynamics), Engineering simulation, Flow (Dynamics), Pressure, Reynolds-averaged Navier–Stokes equations, Simulation, Turbines, Engines, Boundary layers, Computational fluid dynamics
Journal Articles

Validation of an Analytical Model for the Acoustic Impedance Eduction of Multicavity Resonant Liners by a High-Fidelity Large Eddy Simulation Approach

Simone Giaccherini, Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Andrea Arnone
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. August 2023, 145(8): 081002.
Paper No: TURBO-22-1270
https://doi.org/10.1115/1.4056984
Published Online: April 3, 2023
View Article titled, Validation of an Analytical Model for the Acoustic Impedance Eduction of Multicavity Resonant Liners by a High-Fidelity Large Eddy Simulation Approach
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Topics: Acoustics, Cavities, Flow (Dynamics), Large eddy simulation, Resonance, Simulation, Excitation, Noise (Sound), Impedance (Electricity)
Proceedings Papers

Validation of an Analytical Model for the Acoustic Impedance Eduction of Multi-Cavity Resonant Liners by a High-Fidelity LES Approach

Simone Giaccherini, Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Andrea Arnone
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT33A007, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-81984
https://doi.org/10.1115/GT2022-81984
View Paper titled, Validation of an Analytical Model for the Acoustic Impedance Eduction of Multi-Cavity Resonant Liners by a High-Fidelity LES Approach
Open the PDF for Validation of an Analytical Model for the Acoustic Impedance Eduction of Multi-Cavity Resonant Liners by a High-Fidelity LES Approach in another window
Topics: Acoustics, Cavities, Resonance, Design, Emissions, Engineering simulation, Noise (Sound), Simulation, Absorption, Air traffic control
Proceedings Papers

The Effects of Swirling Flows in Entropy Wave Convection Through High Pressure Turbine Stage

Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Andrea Notaristefano, Paolo Gaetani
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A020, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82594
https://doi.org/10.1115/GT2022-82594
View Paper titled, The Effects of Swirling Flows in Entropy Wave Convection Through High Pressure Turbine Stage
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Topics: Convection, Entropy, High pressure (Physics), Swirling flow, Turbines, Waves, Combustion chambers, Computer simulation, Flow (Dynamics), Fluctuations (Physics)
Proceedings Papers

Exploiting GPU-Based HPC Architectures to Accelerate an Unsteady CFD Solver for Turbomachinery Applications

Francesco Poli, Michele Marconcini, Roberto Pacciani, Donato Magarielli, Ennio Spano, Andrea Arnone
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A035, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82569
https://doi.org/10.1115/GT2022-82569
View Paper titled, Exploiting GPU-Based HPC Architectures to Accelerate an Unsteady CFD Solver for Turbomachinery Applications
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Topics: Architecture, Computational fluid dynamics, Graphics processing units, Turbomachinery, Hardware, Computer simulation, Engines, Aircraft engines, Computer software, Fuel consumption
Proceedings Papers

Impact of Operating Conditions on Rotor/Stator Interaction of a High-Pressure Ratio Centrifugal Compressor

Fabrizio Lottini, Andrea Agnolucci, Lorenzo Pinelli, Roberto Pacciani, Lorenzo Toni, Alberto Guglielmo, Angelo Grimaldi
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT35A007, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82108
https://doi.org/10.1115/GT2022-82108
View Paper titled, Impact of Operating Conditions on Rotor/Stator Interaction of a High-Pressure Ratio Centrifugal Compressor
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Topics: Compressors, High pressure (Physics), Rotors, Stators, Design, Machinery, Acoustics, Chain, Computational fluid dynamics, Engineering simulation
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-81091
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
Journal Articles

The Effects of Swirling Flows in Entropy Wave Convection Through High-Pressure Turbine Stage

Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Andrea Notaristefano, Paolo Gaetani
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. March 2023, 145(3): 031004.
Paper No: TURBO-22-1236
https://doi.org/10.1115/1.4055613
Published Online: October 17, 2022
View Article titled, The Effects of Swirling Flows in Entropy Wave Convection Through High-Pressure Turbine Stage
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Topics: Entropy, Flow (Dynamics), Stators, Swirling flow, Temperature, Turbines, Waves, Rotors, Noise (Sound), Blades
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
Publisher: ASME
Article Type: Research Papers
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
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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

Computational and Experimental Study of the Unsteady Convection of Entropy Waves Within a High-Pressure Turbine Stage

Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Paolo Gaetani, Giacomo Persico
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. September 2021, 143(9): 091011.
Paper No: TURBO-20-1381
https://doi.org/10.1115/1.4050600
Published Online: May 12, 2021
View Article titled, Computational and Experimental Study of the Unsteady Convection of Entropy Waves Within a High-Pressure Turbine Stage
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Topics: Blades, Entropy, Flow (Dynamics), Rotors, Stators, Temperature, Turbines, Waves, Fluctuations (Physics), Pressure
Proceedings Papers

Computational and Experimental Study of the Unsteady Convection of Entropy Waves Within a High Pressure Turbine Stage

Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Paolo Gaetani, Giacomo Persico
Proc. ASME. GT2020, Volume 2E: Turbomachinery, V02ET41A015, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14725
https://doi.org/10.1115/GT2020-14725
View Paper titled, Computational and Experimental Study of the Unsteady Convection of Entropy Waves Within a High Pressure Turbine Stage
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Topics: Convection, Entropy, High pressure (Physics), Turbines, Waves, Computational fluid dynamics, Engineering simulation, Simulation, Temperature, Fluctuations (Physics)
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14732
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

Prediction of Tip Leakage Vortex Dynamics in an Axial Compressor Cascade Using RANS Analyses

Martina Ricci, Roberto Pacciani, Michele Marconcini, Andrea Arnone
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A021, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14797
https://doi.org/10.1115/GT2020-14797
View Paper titled, Prediction of Tip Leakage Vortex Dynamics in an Axial Compressor Cascade Using RANS Analyses
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Topics: Cascades (Fluid dynamics), Compressors, Dynamics (Mechanics), Leakage, Reynolds-averaged Navier–Stokes equations, Vortices, Blades, Design, Flow (Dynamics), Turbulence
Journal Articles

Computational and Experimental Study of Hot Streak Transport Within the First Stage of a Gas Turbine

Paolo Gaetani, Giacomo Persico, Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. August 2020, 142(8): 081002.
Paper No: TURBO-19-1269
https://doi.org/10.1115/1.4045961
Published Online: July 28, 2020
View Article titled, Computational and Experimental Study of Hot Streak Transport Within the First Stage of a Gas Turbine
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Topics: Blades, Flow (Dynamics), Gas turbines, Rotors, Stators, Temperature, Turbines, Pressure, Computational fluid dynamics, Simulation