Biblio

Cozzi L, Rubechini F, Giovannini M, Marconcini M, Arnone A, Schneider A, Astrua P.  2019.  Capturing Radial Mixing in Axial Compressors With Computational Fluid Dynamics. ASME Journal of Turbomachinery. 141(3):031012(9pages).

Burberi C, Michelassi V, Scotti Del Greco A, Lorusso S, Tapinassi L, Marconcini M, Pacciani R.  2020.  Validation of Steady and Unsteady CFD Strategies in the Design of Axial Compressors for Gas Turbine Engines. Aerospace Science and Technology. 107:106307.

Cozzi L, Rubechini F, Arnone A, Schneider A, Astrua P.  2020.  Improving Steady Computational Fluid Dynamics to Capture the Effects of Radial Mixing in Axial Compressors. ASME J. Turbomach.. 142(9)

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.

Arnone A, Boncinelli P, Avalle M, Capuani A, Spano E.  2001.  Aerodynamic Design of the Upper Stage Ariane 5 LOX Turbopump Using CFD Techniques. 4th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics. :607–617.

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.

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.

Giovannini M, Rubechini F, Marconcini M, Simoni D, Yepmo V, Bertini F.  2018.  Secondary Flows in Low-Pressure Turbines Cascades: Numerical and Experimental Investigation of the Impact of the Inner Part of the Boundary Layer. ASME Journal of Turbomachinery. 140:111002(12pages).

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, 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.

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.

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.

Pacciani R, Marconcini M, Arnone A, Bertini F, Spano E, Rosa Taddei S, Sandberg R.  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, Marconcini M, Arnone A, Bertini F, Spano E, Rosa Taddei S, Sandberg R.  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.

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.

Sláma V, Rudas B, Eret P, Tsymbalyuk V, Ira J, Macalka A, Pinelli L, Vanti F, Arnone A, Lo Balbo A A.  2018.  Experimental and Numerical Study of Controlled Flutter Testing in a Linear Turbine Blade Cascade. Acta Polytechnica CTU Proceedings. Vol 20 Turbomachines 2018:98-107.

Cozzi L, Rubechini F, Giovannini M, Marconcini M, Arnone A, Schneider A, Astrua P.  2019.  Capturing Radial Mixing in Axial Compressors With Computational Fluid Dynamics. ASME Journal of Turbomachinery. 141(3):031012(9pages).

Burberi C, Michelassi V, Scotti Del Greco A, Lorusso S, Tapinassi L, Marconcini M, Pacciani R.  2020.  Validation of Steady and Unsteady CFD Strategies in the Design of Axial Compressors for Gas Turbine Engines. Aerospace Science and Technology. 107:106307.

Cozzi L, Rubechini F, Arnone A, Schneider A, Astrua P.  2020.  Improving Steady Computational Fluid Dynamics to Capture the Effects of Radial Mixing in Axial Compressors. ASME J. Turbomach.. 142(9)

Rubechini F, Schneider A, Arnone A, Cecchi S, Malavasi F.  2011.  A Redesign Strategy to Improve the Efficiency of a 17-Stage Steam Turbine. ASME Journal of Turbomachinery. 134(3):031021.

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.

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.