Biblio

Found 237 results
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LES
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2025.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part 2: Effect of Reynolds Number on Different Blade Geometries. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 11: Turbomachinery:V011T32A024.
GT2025-153512. Recommended for publication on ASME J. Turbomach.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2025.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part 2: Effect of Reynolds Number on Different Blade Geometries. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 11: Turbomachinery:V011T32A024.
GT2025-153512. Recommended for publication on ASME J. Turbomach.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A.  2026.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part I: Computational Opportunities and Methodology. ASME J Turbomach. 148(7):071001.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2026.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part II: Effect of Reynolds Number on Different Blade Geometries. ASME J Turbomach. 148(7):071002.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2026.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part II: Effect of Reynolds Number on Different Blade Geometries. ASME J Turbomach. 148(7):071002.
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.
Kaplan Turbine
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
HiPSTAR
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A.  2025.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part 1: Computational Opportunities and Methodology. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 11: Turbomachinery:V011T32A014.
GT2025-152583. Recommended for publication on ASME J. Turbomach.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2025.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part 2: Effect of Reynolds Number on Different Blade Geometries. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 11: Turbomachinery:V011T32A024.
GT2025-153512. Recommended for publication on ASME J. Turbomach.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2025.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part 2: Effect of Reynolds Number on Different Blade Geometries. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 11: Turbomachinery:V011T32A024.
GT2025-153512. Recommended for publication on ASME J. Turbomach.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A.  2026.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part I: Computational Opportunities and Methodology. ASME J Turbomach. 148(7):071001.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2026.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part II: Effect of Reynolds Number on Different Blade Geometries. ASME J Turbomach. 148(7):071002.
Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  2026.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part II: Effect of Reynolds Number on Different Blade Geometries. ASME J Turbomach. 148(7):071002.
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
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.  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.
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.
High-performance computing
Savio P, Scionti A, Vitali G, Viviani P, Vercellino C, Terzo O, Nguyen H-N, Magarielli D, Spano E, Marconcini M et al..  2023.  Accelerating Legacy Applications with Spatial Computing Devices. Journal of Supercomputing. 79:7461–7483.

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