Biblio

Found 32 results
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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.
GT2024-128729
Pinelli L, Poli F, Marconcini M, Arnone A, Schipani C, Spano E, Torzo D.  2011.  A Linearized Method for Tone Noise Generation and Propagation Analysis in a Multistage Contra-Rotating Turbine. 9th European Turbomachinery Conference (ETC9). :1253–1263.
Istanbul, Turkey, 21-25 March 2011
Pinelli L, Marconcini M, Pacciani R, Gaetani P, Persico G.  2020.  Computational and Experimental Study of the Unsteady Convection of Entropy Waves Within a High Pressure Turbine Stage. ASME Turbo Expo 2020 Turbomachinery Technical Conference and Exposition. 2E: Turbomachinery:14.
GT2020-14725
Pinelli L, Bandini A, Marconcini M, Amedei A, Meli E, Rindi A.  2022.  Fast and Integrated Tools for Forced Response Prediction: An Application to a Transonic Compressor Rotor Blisk. ASME Turbo Expo 2022 Turbomachinery Technical Conference and Exposition. Volume 8A: Structures and Dynamics
ASME paper GT2022-81975
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, Poli F, Arnone A, Guérin S, Holewa A, Aparicio JRFernán, Puente R, Torzo D, Favre C, Gaetani P et al..  2015.  On the Numerical Evaluation of Tone Noise Emissions Generated by a Turbine Stage: an In-Depth Comparison Among Different Computational Methods. ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. 2B: Turbomachinery
ASME paper GT2015-42376
Pinelli L, Burberi C, Ignesti M, Michelassi V, Tapinassi L, Abati A, Pacciani R.  2023.  Forced response in a multi-stage aeroderivative axial compressor with acoustic excitations: Method validation with field data. Aerospace Science and Technology. 138

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