Biblio

Pinelli L, Arnone A, Peruzzi L, Bettini C, Finzel C, Kellerer R.  2023.  Mistuning Strategy on Long Blades to Mitigate Flutter. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 11A: Structures and Dynamics

Mariotti F, Lilli L, Pinelli L, Arcangeli L, Maceli N, Brazzini F, Marconcini M, Arnone A.  2023.  Simulating Part-Span Snubber in Low Pressure Steam Turbine Rotor With Simplified Methods for Aerodynamic and Aeromechanical Assessment. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 10: Steam Turbine

Giaccherini S, Pinelli L, Marconcini M, Pacciani R, Arnone A.  2023.  Validation of an Analytical Model for the Acoustic Impedance Eduction of Multi-Cavity Resonant Liners by a High-Fidelity LES Approach. ASME J. Turbomach.. 145(8):081002.

Pinelli L, Giannini G, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2024.  The Effect of Entropy Waves Features on the Indirect Noise Generation within an Aeronautical High Pressure Turbine Stage. 79th ATI National Conference.

Pinelli L, Marconcini M, Arnone A, Bacci D.  2024.  High Fidelity Modeling of Acoustic Liners For Aeronautical Applications. 34th Congress of the International Council of the Aeronautical Sciences.

Pinelli L, Giannini G, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2024.  The Impact of the Off-Design Conditions on the Entropy Wave Interaction With a High-Pressure Turbine Stage. ASME J. Turbomach.. 146(4):041003.

Bandini A, Cascino A, Meli E, Pinelli L, Marconcini M.  2024.  Improving Aeromechanical Performance of Compressor Rotor Blisk With Topology Optimization. Energies. 17(8):1883.

Batisti M, Pinelli L, Toni L, Guglielmo A, Marconcini M, Arnone A.  2024.  Innovative Cavity Modeling for Centrifugal Compressors Aeromechanical Analysis. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery :V12DT35A025.

Hussain Z, Bacci D, Pinelli L.  2024.  Numerical Analysis of Combustor Burn-Through Representative Jet. 8th edition of the International Conference on Jets, Wakes and Separated Flows – ICJWSF.

Pinelli L, Poli F, Arnone A, D’Ettole A G, Rosso E, Sartor G, Kharyton V.  2024.  The Role of Operating Conditions on Flutter Instability of a Low-Pressure Turbine Rotor. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 10A: Structures and Dynamics:V10AT21A014.

Bandini A, Bettini C, Peruzzi L, Caretta M, Canelli C, Marconcini M, Pinelli L, Arnone A.  2024.  Targeting Full-Hydrogen Operation on Industrial-Scale Gas Turbines: Impact of Unconventional Fuels on Turbine Module Performance and Aeromechanics. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12B: Turbomachinery:V12BT30A043.

Pinelli L, Giannini G, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2024.  Understanding Entropy Wave Evolution in High-Pressure Turbines: The Role of Hot Spot Position and Features. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery:V12DT36A015.

Pinelli L, Vienni D, Tapinassi L, Michelassi V, Burberi C, Lorusso S, Ignesti M, Marconcini M.  2024.  Understanding the Aerodynamic Damping Behavior of an Axial Compressor Rotor for Industrial Applications. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 10A: Structures and Dynamics:V10AT21A016.

Batisti M, Pinelli L, Toni L, Guglielmo A, Marconcini M, Arnone A.  2025.  Innovative Cavity Modeling for Centrifugal Compressors Aeromechanical Analysis. ASME J Turbomach.

Bandini A, Bettini C, Peruzzi L, Caretta M, Canelli C, Marconcini M, Pinelli L, Arnone A.  2025.  Targeting Full-Hydrogen Operation on Industrial-Scale Gas Turbines: Impact of Unconventional Fuels on Turbine Module Performance and Aeromechanics. ASME J Turbomach.

Pinelli L, Malcaus M, Giannini G, Marconcini M.  Submitted.  Some Experiences About the RANS Modeling of UHBR Fan: The Case of ECL5/CATANA. 16th European Turbomachinery Conference ETC16.

Bottarelli T, Fanfani M, Nesi P, Pinelli L.  Submitted.  Using Physics-Informed Neural Networks for Solving Navier-Stokes Equations in Complex Scenarios. Engineering Applications of Artificial Intelligence.