Biblio

Found 524 results
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CFD
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
Ricci M, Pacciani R, Marconcini M, Arnone A.  2021.  State-of-the-Art Throughflow Analysis of Multistage Turbines by Exploiting CFD Methods. La Termotecnica. 6:72-77.
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
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
Batisti M, Marconcini M, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  2025.  Experimental and Numerical Rotating Stall Investigation of a Multistage Centrifugal Compressor. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 12: Turbomachinery:V012T35A009.
GT2025-153766. Published on ASME J. Eng. Gas Turbine. Power
Pela A, Marconcini M, Arnone A, Agnolucci A, Belardini E, Valente R, Grimaldi A, Toni L.  2025.  Convolutional Neural Network Approach for Impeller Blade Loading Inference. 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs).
Batisti M, Marconcini M, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  2025.  Experimental and Numerical Rotating Stall Investigation of a Multistage Centrifugal Compressor. J. Eng. Gas Turbine. Power. 147(12):121003.
Pela A, Marconcini M, Agnolucci A, Bicchi M, Belardini E, Grimaldi A, Valente R, Toni L, Arnone A.  Submitted.  Convolutional Neural Network Approach for Impeller Blade Loading Inference. Computers & Fluids.
Metti L, Pacciani R, Rosenzweig M, Fang Y, Sandberg RD, Lavagnoli S, Marconcini M.  Submitted.  Unveiling Boundary Layer Physics in the SPLEEN High-Speed LPT with Realistic Turbulent Inflow: a Wall-Resolved LES Benchmark for RANS Models. Aerospace Science and Technology.
Metti L, Pacciani R, Rosenzweig M, Fang Y, Sandberg RD, Lavagnoli S, Marconcini M.  Submitted.  Unveiling Boundary Layer Physics in the SPLEEN High-Speed LPT with Realistic Turbulent Inflow: a Wall-Resolved LES Benchmark for RANS Models. Aerospace Science and Technology.
Centrifugal Pump
Checcucci M, Sazzini F, Marconcini M, Arnone A, Coneri M, De Franco L, Toselli M.  2011.  Assessment of a Neural-Network-Based Optimization Tool: a Low Specific-Speed Impeller Application. International Journal of Rotating Machinery. 2011:1-11.
Grimaldi C, Manfrida G, Pacciani R.  1994.  Global Fluid Dynamics Design of Centrifugal Pumps. 64:503-510.
ASME PET DIV PUBL PD, ASME, New York, NY, (USA)
Checcucci M, Schneider A, Marconcini M, Rubechini F, Arnone A, De Franco L, Coneri M.  2015.  A Novel Approach to Parametric Design of Centrifugal Pumps for a Wide Range of Specific Speeds. 12th International Symposium on Experimental and Computational Aerothermodynamics of Internal Flows.
paper n.121
Riccietti E, Bellucci J, Checcucci M, Marconcini M, Arnone A.  2018.  Support Vector Machine Classification Applied to the Parametric Design of Centrifugal Pumps. Engineering Optimization. 50(8):1304-1324.
Centrifugal Compressors
Arnone A, Bonaiuti D, Boncinelli P, Ermini M, Milani A, Baldassarre L, Camatti M.  2002.  CFD Applications to Industrial Centrifugal Compressor Design. ASME Turbo Expo. 5: Turbo Expo 2002, Parts A and B:639–648.
June 3–6, Amsterdam, The Netherlands, ASME paper 2002-GT-30393
Arnone A, Bonaiuti D, Ermini M, Milani A, Baldassarre L.  2003.  Development of a Procedure for the Aerodynamic Design of Transonic Centrifugal Compressor Impellers. 5th European Turbomachinery Conference (ETC5).
Prague, Czech Republic, 17-21 March 2003
Bonaiuti D, Arnone A, Milani A, Baldassarre L.  2003.  Aerodynamic Analysis of a Multistage Centrifugal Compressor. Conf. Proc. Vol. 6: Turbo Expo 2003, Parts A and B. :741–753.
June 16–19, Atlanta, GA, USA, ASME paper 2003-GT-38495
Marconcini M, Rubechini F, Arnone A, Ibaraki S.  2008.  Numerical Investigation of a Transonic Centrifugal Compressor. ASME Journal of Turbomachinery. 130(1):011010.
Marconcini M, Rubechini F, Arnone A, Ibaraki S.  2008.  Design and Off-Design Numerical Investigation of a Transonic Double-Splitter Centrifugal Compressor. ASME Turbo Expo. Conf. Proc. Vol. 6: Turbomachinery, Parts A and B, and C:1571–1578.
ASME paper GT2008-50759
Marconcini M, Rubechini F, Arnone A, Ibaraki S.  2010.  Numerical Analysis of the Vaned Diffuser of a Transonic Centrifugal Compressor. ASME Journal of Turbomachinery. 132:041012.
Marconcini M, Bianchini A, Checcucci M, Ferrara G, Arnone A, Ferrari L, Biliotti D, Rubino D T.  2017.  A Three-Dimensional Time-Accurate Computational Fluid Dynamics Simulation of the Flow Field Inside a Vaneless Diffuser During Rotating Stall Conditions. ASME Journal of Turbomachinery. 139(2):021001.
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)
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
Pela A, Marconcini M, Arnone A, Agnolucci A, Belardini E, Valente R, Grimaldi A, Toni L.  2025.  Convolutional Neural Network Approach for Impeller Blade Loading Inference. 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs).
Pela A, Marconcini M, Agnolucci A, Bicchi M, Belardini E, Grimaldi A, Valente R, Toni L, Arnone A.  Submitted.  Convolutional Neural Network Approach for Impeller Blade Loading Inference. Computers & Fluids.

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