Biblio

Found 97 results
Author Keyword Type [ Year(Desc)]
Filters: Author is Roberto Pacciani  [Clear All Filters]
2022
Lottini F, Agnolucci A, Pinelli L, Pacciani R, Toni L, Guglielmo A, Grimaldi A.  2022.  Impact of Operating Conditions on Rotor/Stator Interaction of a High-Pressure Ratio Centrifugal Compressor. ASME Turbo Expo 2022 Turbomachinery Technical Conference and Exposition. Volume 10B: Turbomachinery
ASME paper GT2022-82108
Akolekar H, Waschkowski F, Sandberg R, Pacciani R, Zhao Y.  2022.  Multi-Objective Development of Machine-Learnt Closures for Fully Integrated Transition and Wake Mixing Predictions in Low Pressure Turbines. ASME Turbo Expo 2022 Turbomachinery Technical Conference and Exposition. Volume 10C: Turbomachinery
ASME paper GT2022-81091
Ricci M, Mosele S G, Benvenuto M, Astrua P, Pacciani R, Marconcini M.  2022.  Retrofittable Solutions Capability for Gas Turbine Compressors. Int. J. Turbomach. Propuls. Power. 7(1):3.
Giaccherini S, Pinelli L, Marconcini M, Pacciani R, Arnone A.  2022.  Validation of an Analytical Model for the Acoustic Impedance Eduction of Multi-Cavity Resonant Liners by a High-Fidelity LES Approach. ASME Turbo Expo 2022 Turbomachinery Technical Conference and Exposition. Volume 10C: Turbomachinery
ASME paper GT2022-81984 
2023
Rosenzweig M, Giaccherini S, Pinelli L, Kozul M, Sandberg RD, Marconcini M, Pacciani R.  2023.  Best-Practice Guidelines for High-Fidelity Simulations Based on Detailed Analysis of a Highly-Loaded Low-Pressure Turbine Cascade. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13B: Turbomachinery
GT2023-102697
Fang Y, Zhao Y, Akolekar HD, Ooi ASH, Sandberg RD, Pacciani R, Marconcini M.  2023.  A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low- and High-Pressure Turbines. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13C: Turbomachinery
GT2023-102902
Pinelli L, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2023.  The Effects of Swirling Flows in Entropy Wave Convection Through High Pressure Turbine Stage. ASME J. Turbomach.. 145(3):031004.
Pela A, Marconcini M, Arnone A, Toni L, Valente R, Agnolucci A, Grimaldi A, Pacciani R.  2023.  On the Feasibility of Helicity-Based Corrections of Turbulence Models for Improving RANS Predictions of Centrifugal Compressor Stages. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13D: Turbomachinery
GT2023-103852
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
Rosenzweig M, Kozul M, Sandberg R, Marconcini M, Pacciani R.  2023.  High-Fidelity Simulations and Rans Analysis of a Low-Pressure Turbine Cascade in a Spanwise-Diverging Gas Path - End-Wall Flow Analysis and Loss Generation Mechanisms. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13B: Turbomachinery
GT2023-101039
Pinelli L, Giannini G, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2023.  The Impact of the Off-Design Conditions on the Entropy Wave Interaction With a High-Pressure Turbine Stage. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13D: Turbomachinery
GT2023-102837
Pacciani R, Marconcini M, Arnone A, Bertini F, Spano E, Rosa Taddei S, Sandberg RD.  2023.  Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13B: Turbomachinery
GT2023-102985 Accepted for publication on ASME J. Turbomach. TURBO-23-1186
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.
2024
Fang Y, Zhao Y, Akolekar HD, Ooi ASH, Sandberg RD, Pacciani R, Marconcini M.  2024.  A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low- and High-Pressure Turbines. ASME J. Turbomach.. 146(9):091005.
TURBO-23-1139
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.
Fang Y, Reissmann M, Pacciani R, Zhao Y, Ooi A, Marconcini M, Akolekar H, Sandberg R.  2024.  Exploiting a Transformer Architecture to Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12C: Turbomachinery:V12CT32A023.
GT2024-125550
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.
TURBO-23-1243
Pacciani R, Marconcini M, Arnone A, Bertini F, Spano E, Rosa Taddei S, Sandberg RD.  2024.  Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures. ASME J. Turbomach.. 146(5):051009.
Pacciani R, Fang Y, Metti L, Marconcini M, Sandberg RD.  2024.  A Reformulation of the Laminar Kinetic Energy Model to Enable Multi-Mode Transition Predictions.. Flow, Turbulence and Combustion. s10494-024-00590-y
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.
GT2024-127446

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