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Giovanni Delibra
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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
Journal: Journal of Engineering for Gas Turbines and Power
Article Type: Research-Article
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
View Article titled, Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan
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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
View Paper titled, Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan
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Topics: Machine learning, Noise (Sound), Algorithms, Design, Fans, Simulation, Acoustics, Aerodynamic noise, Blades, Density
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
View Paper titled, Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning
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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
Journal: Journal of Turbomachinery
Article Type: Research Papers
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
View Article titled, A Machine-Learnt Wall Function for Rotating Diffusers
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Topics: Algorithms, Computer simulation, Diffusers, Flow (Dynamics), Machinery, Modeling, Reynolds-averaged Navier–Stokes equations, Simulation, Turbulence, Machine learning
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
Journal: Journal of Turbomachinery
Article Type: Research Papers
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
View Article titled, Assessment of MULTALL as Computational Fluid Dynamics Code for the Analysis of Tube-Axial Fans
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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
View Paper titled, Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning
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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
View Paper titled, A Machine-Learnt Wall Function for Rotating Diffusers
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Topics: Diffusers, Machinery, Flow (Dynamics), Boundary layers, Machine learning, Turbomachinery, Turbulence, Computational fluid dynamics, Kinetic energy, Modeling
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
View Paper titled, Assessment of MULTALL As CFD Code for the Analysis of Tube-Axial Fans
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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
View Paper titled, Identification of Losses in Turbomachinery With Machine Learning
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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

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
View Paper titled, Machine Learnt Synthetic Turbulence for LES Inflow Conditions
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Topics: Inflow, Machinery, Turbulence
Journal Articles

Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Gino Angelini
Journal: Journal of Engineering for Gas Turbines and Power
Article Type: Research-Article
J. Eng. Gas Turbines Power. December 2020, 142(12): 121011.
Paper No: GTP-20-1311
DOI: https://doi.org/10.1115/1.4048568
Published Online: December 1, 2020
View Article titled, Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge
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Topics: Airfoils, Algorithms, Artificial neural networks, Turbulence, Cascades (Fluid dynamics), Simulation, Compressors
Proceedings Papers

Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Gino Angelini
Proc. ASME. GT2019, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T09A004, June 17–21, 2019
Paper No: GT2019-91238
DOI: https://doi.org/10.1115/GT2019-91238
View Paper titled, Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge
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Topics: Cascades (Fluid dynamics), Compressors, Machinery, Artificial neural networks, Simulation, Computation, Boundary layers, Flow (Dynamics), Aerodynamic noise, Airfoils
Proceedings Papers

A Multi-Dimensional Extension of Balje Chart for Axial Flow Turbomachinery Using Artificial Intelligence Based Meta-Models

Gino Angelini, Alessandro Corsini, Giovanni Delibra, Lorenzo Tieghi
Proc. ASME. GT2019, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T09A009, June 17–21, 2019
Paper No: GT2019-91588
DOI: https://doi.org/10.1115/GT2019-91588
View Paper titled, A Multi-Dimensional Extension of Balje Chart for Axial Flow Turbomachinery Using Artificial Intelligence Based Meta-Models
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Topics: Artificial intelligence, Axial flow, Blades, Computer software, Design, Kinematics, Machine learning, Principal component analysis, Rotors, Turbomachinery
Proceedings Papers

Identification of Poorly Ventilated Zones in Gas-Turbine Enclosures With Machine Learning

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Gabriele Lucherini, Stefano Minotti, Stefano Rossin, Lorenzo Tieghi
Proc. ASME. GT2019, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T09A003, June 17–21, 2019
Paper No: GT2019-91198
DOI: https://doi.org/10.1115/GT2019-91198
View Paper titled, Identification of Poorly Ventilated Zones in Gas-Turbine Enclosures With Machine Learning
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Topics: Gas turbines, Machine learning, Artificial neural networks, Computation, Flow (Dynamics), Gaseous fuels, Leakage, Reynolds-averaged Navier–Stokes equations, Ventilation, Air flow
Proceedings Papers

Modelling of Sonic Jets for Gas Leak Applications

Stefano Minotti, Alessandro Corsini, Giovanni Delibra, Gabriele Lucherini, Stefano Rossin, Lorenzo Tieghi, Stefania Traldi
Proc. ASME. GT2019, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T27A024, June 17–21, 2019
Paper No: GT2019-91199
DOI: https://doi.org/10.1115/GT2019-91199
View Paper titled, Modelling of Sonic Jets for Gas Leak Applications
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Topics: Jets, Leakage, Modeling, Gaseous fuels, Computational fluid dynamics, Engineering simulation, Gas turbines, Simulation, Design, Explosives
Journal Articles

A Multidimensional Extension of Balje Chart for Axial Flow Turbomachinery Using Artificial Intelligence-Based Meta-Models

Gino Angelini, Alessandro Corsini, Giovanni Delibra, Lorenzo Tieghi
Journal: Journal of Engineering for Gas Turbines and Power
Article Type: Research-Article
J. Eng. Gas Turbines Power. November 2019, 141(11): 111012.
Paper No: GTP-19-1439
DOI: https://doi.org/10.1115/1.4044935
Published Online: October 16, 2019
View Article titled, A Multidimensional Extension of Balje Chart for Axial Flow Turbomachinery Using Artificial Intelligence-Based Meta-Models
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Topics: Axial flow, Blades, Cascades (Fluid dynamics), Design, Principal component analysis, Turbomachinery, Fans, Flow (Dynamics), Artificial neural networks, Chords (Trusses)
Proceedings Papers

A Meta-Model for Aerodynamic Properties of a Reversible Profile in Cascade With Variable Stagger and Solidity

Gino Angelini, Tommaso Bonanni, Alessandro Corsini, Giovanni Delibra, Lorenzo Tieghi, David Volponi
Proc. ASME. GT2018, Volume 1: Aircraft Engine; Fans and Blowers; Marine, V001T09A009, June 11–15, 2018
Paper No: GT2018-76363
DOI: https://doi.org/10.1115/GT2018-76363
View Paper titled, A Meta-Model for Aerodynamic Properties of a Reversible Profile in Cascade With Variable Stagger and Solidity
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Topics: Cascades (Fluid dynamics), Computer software, Computational fluid dynamics, Simulation, Drag (Fluid dynamics), Reynolds number, Airfoils, Blades, Reynolds-averaged Navier–Stokes equations
Proceedings Papers

Development and Validation of a Novel Synthetic Blade Model for Axial Flow Fans in Unsteady CFD

Tommaso Bonanni, Alessandro Corsini, Giovanni Delibra, David Volponi
Proc. ASME. GT2017, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T09A005, June 26–30, 2017
Paper No: GT2017-63952
DOI: https://doi.org/10.1115/GT2017-63952
View Paper titled, Development and Validation of a Novel Synthetic Blade Model for Axial Flow Fans in Unsteady CFD
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Topics: Axial flow, Blades, Computational fluid dynamics, Fans, Actuators, Disks, Momentum, Deflection, Fluids, Rotation
Proceedings Papers

Design of a Single Stage Variable Pitch Axial Fan

Tommaso Bonanni, Alessandro Corsini, Giovanni Delibra, David Volponi, Anthony G. Sheard, Mark Bublitz
Proc. ASME. GT2017, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T09A011, June 26–30, 2017
Paper No: GT2017-64517
DOI: https://doi.org/10.1115/GT2017-64517
View Paper titled, Design of a Single Stage Variable Pitch Axial Fan
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Topics: Design, Blades, Computational fluid dynamics, Design methodology, Fans, Vortices, Aerospace industry, Airfoils, Chords (Trusses), Experimental design
Proceedings Papers

Derivative Design of Axial Fan Range: From Academia to Industry

Tommaso Bonanni, Lucio Cardillo, Alessandro Corsini, Giovanni Delibra, Anthony G. Sheard, David Volponi
Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T07A006, June 13–17, 2016
Paper No: GT2016-57469
DOI: https://doi.org/10.1115/GT2016-57469
View Paper titled, Derivative Design of Axial Fan Range: From Academia to Industry
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Topics: Design, Blades, Design methodology, Modal assurance criterion, Actuators, Diffusion (Physics), Disks, Education, Errors, Fans