1-20 of 90
Alessandro Corsini
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

A Multi Objective Optimization Framework for Offshore Wind Farm Design In Deep Water Seas

Accepted Manuscript
Valerio Francesco Barnabei, Tullio Carlo Maria Ancora, Michela Conti, Alessio Castorrini, Giovanni Delibra, Alessandro Corsini, Franco Rispoli
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng.
Paper No: FE-24-1432
https://doi.org/10.1115/1.4067365
Published Online: December 7, 2024
View Article titled, A Multi Objective Optimization Framework for Offshore Wind Farm Design In Deep Water Seas
Open the PDF for A Multi Objective Optimization Framework for Offshore Wind Farm Design In Deep Water Seas in another window
Topics: Design, Ocean engineering, Pareto optimization, Seas, Water, Wind farms, Turbines, Optimization, Shorelines, Wakes
Journal Articles

Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks

Accepted Manuscript
Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Journal: Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy
Publisher: ASME
Article Type: Research Papers
J. Energy Res. Technol. Part A.
Paper No: JERTA-24-1154
https://doi.org/10.1115/1.4067273
Published Online: November 26, 2024
View Article titled, Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks
Open the PDF for Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks in another window
Proceedings Papers

A Multi Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas

Valerio Francesco Barnabei, Tullio Carlo Maria Ancora, Michela Conti, Alessio Castorrini, Giovanni Delibra, Franco Rispoli, Alessandro Corsini
Proc. ASME. GT2024, Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, V013T37A012, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126008
https://doi.org/10.1115/GT2024-126008
View Paper titled, A Multi Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas
Open the PDF for A Multi Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas in another window
Topics: Design, Ocean engineering, Pareto optimization, Seas, Water, Wind farms, Energy generation, Optimization, Turbines, Genetic algorithms
Proceedings Papers

Comparative Analysis of the Effect of Two Tower Geometries on Offshore Wind Turbine Wake Aerodynamics

Albanese Simone, Valerio Francesco Barnabei, Vincenzo Morici, Alessandro Corsini, Alessio Castorrini
Proc. ASME. GT2024, Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, V013T37A019, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128992
https://doi.org/10.1115/GT2024-128992
View Paper titled, Comparative Analysis of the Effect of Two Tower Geometries on Offshore Wind Turbine Wake Aerodynamics
Open the PDF for Comparative Analysis of the Effect of Two Tower Geometries on Offshore Wind Turbine Wake Aerodynamics in another window
Topics: Aerodynamics, Offshore wind turbines, Wakes, Turbines, Computational fluid dynamics, Rotors, Turbulence, Actuators, Flow (Dynamics), Ocean engineering
Proceedings Papers

Machine Learning Regression of Under-Expanded Hydrogen Jets

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Proc. ASME. GT2024, Volume 2: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels, V002T03A032, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128704
https://doi.org/10.1115/GT2024-128704
View Paper titled, Machine Learning Regression of Under-Expanded Hydrogen Jets
Open the PDF for Machine Learning Regression of Under-Expanded Hydrogen Jets in another window
Topics: Fuels, Graph neural networks, Hydrogen, Jets, Leakage, Machine learning
Journal Articles

Characterization of High-Pressure Hydrogen Leakages

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Ermanno Lo Schiavo, Stefano Minotti, Alessandro Corsini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. May 2024, 146(5): 051019.
Paper No: GTP-23-1331
https://doi.org/10.1115/1.4063830
Published Online: December 26, 2023
View Article titled, Characterization of High-Pressure Hydrogen Leakages
Open the PDF for Characterization of High-Pressure Hydrogen Leakages in another window
Topics: Cross-flow, Fuels, Hydrogen, Jets, Leakage, Methane, Ventilation, Pressure, Safety, High pressure (Physics)
Journal Articles

Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades

Lorenzo Tieghi, Felix Czwielong, Valerio F. Barnabei, Christof Ocker, Giovanni Delibra, Stefan Becker, Alessandro Corsini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. February 2024, 146(2): 021007.
Paper No: GTP-23-1410
https://doi.org/10.1115/1.4063420
Published Online: October 25, 2023
View Article titled, Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades
Open the PDF for Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades in another window
Topics: Acoustics, Blades, Fans, Flow (Dynamics), Inflow, Pressure, Rotors, Turbulence, Aerodynamics
Proceedings Papers

Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades

Lorenzo Tieghi, Felix Czwielong, Valerio F. Barnabei, Cristof Ocker, Giovanni Delibra, Stefan Becker, Alessandro Corsini
Proc. ASME. GT2023, Volume 6: Education; Electric Power; Energy Storage; Fans and Blowers, V006T10A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101899
https://doi.org/10.1115/GT2023-101899
View Paper titled, Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades
Open the PDF for Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades in another window
Topics: Aerodynamic noise, Aerodynamics, Blades, Fans, Flow (Dynamics), Emissions, Noise control, Rotors, Sound, Anechoic chambers
Proceedings Papers

Characterization of High-Pressure Hydrogen Leakages

Davide Cerbarano, Ermanno Lo Schiavo, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Proc. ASME. GT2023, Volume 2: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels, V002T03A007, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101383
https://doi.org/10.1115/GT2023-101383
View Paper titled, Characterization of High-Pressure Hydrogen Leakages
Open the PDF for Characterization of High-Pressure Hydrogen Leakages in another window
Topics: Cross-flow, Gas turbines, High pressure (Physics), Hydrogen, Jets, Leakage, Safety, Ventilation
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
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2023, 145(3): 031020.
Paper No: GTP-22-1291
https://doi.org/10.1115/1.4055417
Published Online: December 8, 2022
View Article titled, Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan
Open the PDF for Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82116
https://doi.org/10.1115/GT2022-82116
View Paper titled, Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan
Open the PDF for Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82462
https://doi.org/10.1115/GT2022-82462
View Paper titled, Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring
Open the PDF for Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring in another window
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
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. October 2022, 144(10): 101006.
Paper No: TURBO-21-1229
https://doi.org/10.1115/1.4054069
Published Online: April 19, 2022
View Article titled, Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans
Open the PDF for Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans in another window
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
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. September 2022, 144(9): 091013.
Paper No: TURBO-21-1212
https://doi.org/10.1115/1.4053634
Published Online: March 16, 2022
View Article titled, Morphing of Reversible Axial Fan Blade: A FSI-FEM Study
Open the PDF for Morphing of Reversible Axial Fan Blade: A FSI-FEM Study in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59465
https://doi.org/10.1115/GT2021-59465
View Paper titled, Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans
Open the PDF for Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59156
https://doi.org/10.1115/GT2021-59156
View Paper titled, Machine Learning Aided Prediction of Rain Erosion Damage on Wind Turbine Blade Sections
Open the PDF for Machine Learning Aided Prediction of Rain Erosion Damage on Wind Turbine Blade Sections in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59554
https://doi.org/10.1115/GT2021-59554
View Paper titled, Morphing of Reversible Axial Fan Blade: A FSI-FEM Study
Open the PDF for Morphing of Reversible Axial Fan Blade: A FSI-FEM Study in another window
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59277
https://doi.org/10.1115/GT2021-59277
View Paper titled, Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning
Open the PDF for Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning in another window
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
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. August 2021, 143(8): 081012.
Paper No: TURBO-20-1368
https://doi.org/10.1115/1.4050442
Published Online: May 3, 2021
View Article titled, A Machine-Learnt Wall Function for Rotating Diffusers
Open the PDF for A Machine-Learnt Wall Function for Rotating Diffusers in another window
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
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. July 2021, 143(7): 071008.
Paper No: TURBO-20-1335
https://doi.org/10.1115/1.4050359
Published Online: April 9, 2021
View Article titled, Design of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans
Open the PDF for Design of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans in another window
Topics: Blades, Clearances (Engineering), Design, Pressure, Vortices, Flow (Dynamics), Trajectories (Physics), Performance characterization, Axial flow, Chords (Trusses)