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Journal Articles

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Lorenzo Tieghi, Stefan Becker, Alessandro Corsini, Giovanni Delibra, Stefan Schoder, Felix Czwielong

J. Eng. Gas Turbines Power. March 2023, 145(3): 031020.

Paper No: GTP-22-1291

DOI: https://doi.org/10.1115/1.4055417

Published Online: December 8, 2022

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Topics: Algorithms, Blades, Flow (Dynamics), Machine learning, Noise (Sound), Simulation, Optimization, Pressure, Turbulence, Computation

Proceedings Papers

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Lorenzo Tieghi, Stefan Becker, Alessandro Corsini, Giovanni Delibra, Stefan Schoder, Felix Czwielong

Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A008, June 13–17, 2022

Paper No: GT2022-82116

DOI: https://doi.org/10.1115/GT2022-82116

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Topics: Machine learning, Noise (Sound), Algorithms, Design, Fans, Simulation, Acoustics, Aerodynamic noise, Blades, Density

Proceedings Papers

Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring

Eric Stefan Miele, Fabrizio Bonacina, Alessandro Corsini, Arianna Peruch, Marco Cannarozzo, Daniele Baldan, Francesco Pennisi

Proc. ASME. GT2022, Volume 11: Wind Energy, V011T38A015, June 13–17, 2022

Paper No: GT2022-82462

DOI: https://doi.org/10.1115/GT2022-82462

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Topics: Condition monitoring, Feature selection, Horizontal axis wind turbines, Sensors

Journal Articles

Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Thomas O. Meyer, Sybrand J. van der Spuy, Christiaan J. Meyer, Alessandro Corsini

J. Turbomach. October 2022, 144(10): 101006.

Paper No: TURBO-21-1229

DOI: https://doi.org/10.1115/1.4054069

Published Online: April 19, 2022

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Topics: Design, Optimization, Vortices, Blades, Pressure, Axial flow, Leakage

Journal Articles

Morphing of Reversible Axial Fan Blade: A FSI-FEM Study

Valerio F. Barnabei, Alessio Castorrini, Alessandro Corsini, Franco Rispoli

J. Turbomach. September 2022, 144(9): 091013.

Paper No: TURBO-21-1212

DOI: https://doi.org/10.1115/1.4053634

Published Online: March 16, 2022

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Topics: Blades, Fluid structure interaction, Simulation, Flow (Dynamics), Displacement, Dynamics (Mechanics), Design, Computer software

Proceedings Papers

Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Thomas O. Meyer, Sybrand J. van der Spuy, Christiaan J. Meyer, Alessandro Corsini

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T10A007, June 7–11, 2021

Paper No: GT2021-59465

DOI: https://doi.org/10.1115/GT2021-59465

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Topics: Axial flow, Fans, Leakage, Optimization, Vortices, Design, Performance characterization, Databases, Experimental design, Geometry

Proceedings Papers

Machine Learning Aided Prediction of Rain Erosion Damage on Wind Turbine Blade Sections

Alessio Castorrini, Paolo Venturini, Fabrizio Gerboni, Alessandro Corsini, Franco Rispoli

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T40A002, June 7–11, 2021

Paper No: GT2021-59156

DOI: https://doi.org/10.1115/GT2021-59156

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Topics: Blades, Damage, Erosion, Machine learning, Wind turbines, Coating processes, Coatings, Energy generation, Modeling, Turbine blades

Proceedings Papers

Morphing of Reversible Axial Fan Blade: A FSI-FEM Study

Valerio F. Barnabei, Alessio Castorrini, Alessandro Corsini, Franco Rispoli

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T10A009, June 7–11, 2021

Paper No: GT2021-59554

DOI: https://doi.org/10.1115/GT2021-59554

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Topics: Blades, Finite element methods, Finite element model, Fluid structure interaction, Design, Flow (Dynamics), Engineering simulation, Fluids, Shapes, Simulation

Proceedings Papers

Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning

Alessandro Corsini, Giovanni Delibra, Lorenzo Tieghi, Francesco Aldo Tucci

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T10A006, June 7–11, 2021

Paper No: GT2021-59277

DOI: https://doi.org/10.1115/GT2021-59277

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Topics: Cascades (Fluid dynamics), Deflection, Machine learning

Journal Articles

A Machine-Learnt Wall Function for Rotating Diffusers

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Francesco Aldo Tucci

J. Turbomach. August 2021, 143(8): 081012.

Paper No: TURBO-20-1368

DOI: https://doi.org/10.1115/1.4050442

Published Online: May 3, 2021

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Topics: Algorithms, Computer simulation, Diffusers, Flow (Dynamics), Machinery, Modeling, Reynolds-averaged Navier–Stokes equations, Simulation, Turbulence, Machine learning

Journal Articles

Design of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Thomas O. Meyer, Sybrand J. van der Spuy, Christiaan J. Meyer, Alessandro Corsini

J. Turbomach. July 2021, 143(7): 071008.

Paper No: TURBO-20-1335

DOI: https://doi.org/10.1115/1.4050359

Published Online: April 9, 2021

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Topics: Blades, Clearances (Engineering), Design, Pressure, Vortices, Flow (Dynamics), Trajectories (Physics), Performance characterization, Axial flow, Chords (Trusses)

Journal Articles

Assessment of MULTALL as Computational Fluid Dynamics Code for the Analysis of Tube-Axial Fans

Piero Danieli, Massimo Masi, Giovanni Delibra, Alessandro Corsini, Andrea Lazzaretto

J. Turbomach. July 2021, 143(7): 071005.

Paper No: TURBO-20-1338

DOI: https://doi.org/10.1115/1.4050445

Published Online: April 9, 2021

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Topics: Computational fluid dynamics, Rotors, Turbulence, Fans, Density

Proceedings Papers

Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Gabriele Lucherini, Stefano Minotti, Stefano Rossin, Lorenzo Tieghi

Proc. ASME. GT2020, Volume 9: Oil and Gas Applications; Organic Rankine Cycle Power Systems; Steam Turbine, V009T21A006, September 21–25, 2020

Paper No: GT2020-14916

DOI: https://doi.org/10.1115/GT2020-14916

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Topics: Machine learning, Ventilation, Computational fluid dynamics, Artificial neural networks, Simulation, Gas turbines, Acoustics, Algorithms, Explosions, Flanges

Proceedings Papers

A Machine-Learnt Wall Function for Rotating Diffusers

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Francesco Aldo Tucci

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A010, September 21–25, 2020

Paper No: GT2020-15353

DOI: https://doi.org/10.1115/GT2020-15353

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Topics: Diffusers, Machinery, Flow (Dynamics), Boundary layers, Machine learning, Turbomachinery, Turbulence, Computational fluid dynamics, Kinetic energy, Modeling

Proceedings Papers

Integration of Computational Fluid-Particle Dynamics Techniques for the Instantaneous Estimation of Particle Erosion Damage on Axial Fan Blade Sections

Alessio Castorrini, Paolo Venturini, Alessandro Corsini

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A011, September 21–25, 2020

Paper No: GT2020-15379

DOI: https://doi.org/10.1115/GT2020-15379

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Topics: Blades, Damage, Dynamics (Mechanics), Erosion, Flow (Dynamics), Fluids, Particulate matter

Proceedings Papers

Assessment of MULTALL As CFD Code for the Analysis of Tube-Axial Fans

Piero Danieli, Massimo Masi, Giovanni Delibra, Alessandro Corsini, Andrea Lazzaretto

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A006, September 21–25, 2020

Paper No: GT2020-14963

DOI: https://doi.org/10.1115/GT2020-14963

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Topics: Axial flow, Computational fluid dynamics, Fans

Proceedings Papers

Identification of Losses in Turbomachinery With Machine Learning

Gino Angelini, Alessandro Corsini, Giovanni Delibra, Marco Giovannelli

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A008, September 21–25, 2020

Paper No: GT2020-15337

DOI: https://doi.org/10.1115/GT2020-15337

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Topics: Machine learning, Turbomachinery, Cascades (Fluid dynamics), Experimental design, Flow (Dynamics), Algorithms, Artificial neural networks, Boundary layers, Computational fluid dynamics, Design

Proceedings Papers

Design of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Thomas O. Meyer, Sybrand J. van der Spuy, Christiaan J. Meyer, Alessandro Corsini

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A003, September 21–25, 2020

Paper No: GT2020-14292

DOI: https://doi.org/10.1115/GT2020-14292

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Topics: Axial flow, Design, Fans, Leakage, Vortices, Flow (Dynamics), Performance characterization, Blades, Passive control, Clearances (Engineering)

Proceedings Papers

Machine Learnt Synthetic Turbulence for LES Inflow Conditions

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Stefania Traldi

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A009, September 21–25, 2020

Paper No: GT2020-15338

DOI: https://doi.org/10.1115/GT2020-15338

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Topics: Inflow, Machinery, Turbulence

Proceedings Papers

Unsteady Flow Simulation of an Axial Fan for Dry Cooling in a CSP Plant Using the Variational Multiscale Method

Valerio Francesco Barnabei, Alessio Castorrini, Alessandro Corsini, Johan Van der Spuy, Franco Rispoli

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A014, September 21–25, 2020

Paper No: GT2020-16057

DOI: https://doi.org/10.1115/GT2020-16057

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Topics: Cooling, Simulation, Unsteady flow, Computational fluid dynamics, Flow (Dynamics), Concentrating solar power, Condensers (steam plant), Cooling systems, Emissions, Finite element analysis

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Journal citation

NARROW

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring

Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Morphing of Reversible Axial Fan Blade: A FSI-FEM Study

Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Machine Learning Aided Prediction of Rain Erosion Damage on Wind Turbine Blade Sections

Morphing of Reversible Axial Fan Blade: A FSI-FEM Study

Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning

A Machine-Learnt Wall Function for Rotating Diffusers

Design of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Assessment of MULTALL as Computational Fluid Dynamics Code for the Analysis of Tube-Axial Fans

Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning

A Machine-Learnt Wall Function for Rotating Diffusers

Integration of Computational Fluid-Particle Dynamics Techniques for the Instantaneous Estimation of Particle Erosion Damage on Axial Fan Blade Sections

Assessment of MULTALL As CFD Code for the Analysis of Tube-Axial Fans

Identification of Losses in Turbomachinery With Machine Learning

Design of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Machine Learnt Synthetic Turbulence for LES Inflow Conditions

Unsteady Flow Simulation of an Axial Fan for Dry Cooling in a CSP Plant Using the Variational Multiscale Method

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