PALIOTTA, PIETRO
PALIOTTA, PIETRO
100025 - Dipartimento di ingegneria meccanica, energetica, gestionale e dei trasporti
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Risultati 1 - 5 di 5 (tempo di esecuzione: 0.007 secondi).
A ML strategy for the identification of optimal LPT design region and related blade shape
2024-01-01 Petronio, D.; Paliotta, P.; Lengani, D.; Simoni, D.
DETAILED CHARACTERIZATION OF TURBULENCE INTENSITY AND DISSIPATION AS BOUNDARY CONDITION FOR 3D RANS SIMULATIONS
2024-01-01 Bologna, V.; Paliotta, P.; Petronio, D.; Satta, F.; Simoni, D.; Giovannini, M.; Paccati, S.; De Vincetiis, L.; Gily, M.
EVALUATION OF DIFFERENT REGRESSION MODELS TUNED WITH EXPERIMENTAL TURBINE CASCADE DATA
2022-01-01 Dellacasagrande, M.; Lengani, D.; Paliotta, P.; Petronio, D.; Simoni, D.; Bertini, F.
Local correlations for predicting the transition process in separated flows tuned with a large experimental database
2024-01-01 Petronio, D.; Paliotta, P.; Dellacasagrande, M.; Lengani, D.; Simoni, D.
Study of the Aerodynamic Performances of LPT Profiles and Use of Machine-Learning Techniques for Data Analysis and Optimization
2024-05-23 Paliotta, Pietro
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A ML strategy for the identification of optimal LPT design region and related blade shape | 1-gen-2024 | Petronio, D.; Paliotta, P.; Lengani, D.; Simoni, D. | |
DETAILED CHARACTERIZATION OF TURBULENCE INTENSITY AND DISSIPATION AS BOUNDARY CONDITION FOR 3D RANS SIMULATIONS | 1-gen-2024 | Bologna, V.; Paliotta, P.; Petronio, D.; Satta, F.; Simoni, D.; Giovannini, M.; Paccati, S.; De Vincetiis, L.; Gily, M. | |
EVALUATION OF DIFFERENT REGRESSION MODELS TUNED WITH EXPERIMENTAL TURBINE CASCADE DATA | 1-gen-2022 | Dellacasagrande, M.; Lengani, D.; Paliotta, P.; Petronio, D.; Simoni, D.; Bertini, F. | |
Local correlations for predicting the transition process in separated flows tuned with a large experimental database | 1-gen-2024 | Petronio, D.; Paliotta, P.; Dellacasagrande, M.; Lengani, D.; Simoni, D. | |
Study of the Aerodynamic Performances of LPT Profiles and Use of Machine-Learning Techniques for Data Analysis and Optimization | 23-mag-2024 | Paliotta, Pietro |