Biblio

Found 335 results
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Filters: Author is Michele Marconcini  [Clear All Filters]
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Design
Agnolucci A, Marconcini M, Arnone A, Toni L, Grimaldi A, Giachi M.  2021.  Centrifugal Compressor Stage Efficiency and Rotor Stiffness Augmentation via Artificial Neural Networks. ASME Turbo Expo 2021 Turbomachinery Technical Conference and Exposition. 2D: Turbomachinery: Radial Turbomachinery Aerodynamics
ASME paper GT2021-59998
desolination
Bandini A, Arcangeli L, Paggini A, Nenciolini A, Iobbi M, Pinelli L, Marconcini M, Arnone A.  2025.  An Inquiry Into the Aerodynamic and Aeromechanic Aspects on Next-Generation CO2-SO2 Power Turbines for Sustainable Applications: The Case of the Desolination Project. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 9: Structures and Dynamics:V009T28A023.
GT2025-153814
Diffusers
Agnolucci A, Marconcini M, Arnone A, Toni L, Grimaldi A, Giachi M.  2021.  Centrifugal Compressor Stage Efficiency and Rotor Stiffness Augmentation via Artificial Neural Networks. ASME Turbo Expo 2021 Turbomachinery Technical Conference and Exposition. 2D: Turbomachinery: Radial Turbomachinery Aerodynamics
ASME paper GT2021-59998
direct/indirect noise
Burberi C, Ghignoni E, Pinelli L, Marconcini M.  2018.  Numerical Analysis of Direct and Indirect Noise Produced by a High Pressure Turbine Stage. ATI 2018 - 73rd Conference of the Italian Thermal Machines Engineering Association. Energy Procedia 148:130-137.
Dissipative forces
Pacciani R, Marconcini M, Arnone A.  2017.  A CFD Based Throughflow Method with Three-Dimensional Flow Features Modelling. 12th European Conference on Turbomachinery Fluid Dynamics & Thermodynamics ETC12.
paper ETC2017-329
Distributed loss model
Pacciani R, Marconcini M, Arnone A.  2017.  A CFD Based Throughflow Method with Three-Dimensional Flow Features Modelling. 12th European Conference on Turbomachinery Fluid Dynamics & Thermodynamics ETC12.
paper ETC2017-329
Dual Time Stepping
Arnone A, Marconcini M, Pacciani R.  1999.  On the Use of Dual Time Stepping in Unsteady Turbomachinery Flow Calculations. Ercoftac Bulletin on Turbomachinery. 42:37–42.
Arnone A, Marconcini M, Pacciani R.  2000.  On the Use of Unsteady Methods in Predicting Stage Aerodynamic Performance. 9th ISUAAAT, Unsteady Aerodynamics, Aeroacustics and Aeroelasticity of Turbomachines. :24–36.
9th ISUAAAT, September 4–8, Lyon, France
energy flexibility; response to energy demand; retrofittable solutions; axial compressor; off-design
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.
energy transition
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.
GT2024-128815  (accepted for publication on ASME Journal of Turbomachinery)
Milli L, Lottini F, Marconcini M, Arnone A.  2025.  CFD Investigation of Unsteady Interactions in a Radial-Axial Turboexpander for Geothermal Power Plant Applications. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 12: Turbomachinery:V012T35A006.
GT2025-153202
Pela A, Marconcini M, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  2025.  Towards the Automatic Generation of Transonic Centrifugal Impellers by Deep Learning and Feature Importance Techniques. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 12: Turbomachinery:V012T35A011.
GT2025-153947
Engines
Giovannini M, Rubechini F, Marconcini M, Arnone A, Bertini F.  2016.  Analysis of a LPT Rotor Blade For a Geared Engine. Part I: Aero-Mechanical Design and Validation. ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. 2B: Turbomachinery:V02BT38A053;12pages.
GT2016-57746
entropy waves
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
feature importance
Pela A, Marconcini M, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  2025.  Towards the Automatic Generation of Transonic Centrifugal Impellers by Deep Learning and Feature Importance Techniques. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 12: Turbomachinery:V012T35A011.
GT2025-153947

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