Biblio

Found 507 results
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high-speed low-pressure turbine
Metti L, Marconcini M, Salvadori S, Misul DAnna, Rosafio N, Lopes G, Lavagnoli S, Fang Y, Sandberg R, Pacciani R.  2025.  The Impact of Transition and Turbulence Modelling on the SPLEEN High-Speed Low-Pressure Turbine Cascade. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 10: Turbomachinery:V010T30A019.
GT2025-153288. Recommended for publication on ASME J. Turbomach.
Metti L, Marconcini M, Salvadori S, Misul DAnna, Rosafio N, Lopes G, Lavagnoli S, Fang Y, Sandberg R, Pacciani R.  2026.  The Impact of Transition and Turbulence Modeling on the SPLEEN High-Speed Low-Pressure Turbine Cascade. ASME J Turbomach. 148(2):021011.
Hill Chart
Arnone A, Marconcini M, Rubechini F, Schneider A, Alba G.  2009.  Kaplan Turbine Performance Prediction Using CFD: an Artificial Neural Network Approach. HYDRO 2009 Conference Proceedings.
Lyon, France, 26-28 October 2009, paper n.263
HP turbine
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.
Impellers
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
Kacker-Okapuu
Bertini F, Ampellio E, Marconcini M, Giovannini M.  2013.  A Critical Numerical Review of Loss Correlation Models and Smith Diagram for Modern Low Pressure Turbine Stages. ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. 6B: Turbomachinery:V06BT37A018-;14pages.
ASME paper GT2013-94849
Kaplan Turbine
Arnone A, Pacciani R, Gebendinger M, Francini S.  1994.  Numerical Characterization of a Kaplan Turbine Using a Three-Dimensional Viscous Solver. Modelling, Testing & Monitoring for Hydro Powerplants Meeting, Hydropower & Dams.
Budapest, Hungary, July
Arnone A, Marconcini M, Rubechini F, Schneider A, Alba G.  2009.  Kaplan Turbine Performance Prediction Using CFD: an Artificial Neural Network Approach. HYDRO 2009 Conference Proceedings.
Lyon, France, 26-28 October 2009, paper n.263
Laminar-turbulent multi-mode transition
Pacciani R, Fang Y, Metti L, Marconcini M, Sandberg R.  2025.  A Reformulation of the Laminar Kinetic Energy Model to Enable Multi-Mode Transition Predictions.. Flow, Turbulence and Combustion. 114(1):81-116.

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