Biblio

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.

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.

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.

Pinelli L, Malcaus M, Giannini G, Marconcini M.  2025.  Some Experiences About the RANS Modeling of UHBR Fan: The Case of ECL5/CATANA. Int. J. Turbomach. Propuls. Power.. 10:17.

Pinelli L, Malcaus M, Giannini G, Marconcini M.  2025.  Some Experiences About the RANS Modeling of UHBR Fan: The Case of ECL5/CATANA. 16th European Turbomachinery Conference ETC16.

Bandini A, Bettini C, Peruzzi L, Caretta M, Canelli C, Marconcini M, Pinelli L, Arnone A.  2025.  Targeting Full-Hydrogen Operation on Industrial-Scale Gas Turbines: Impact of Unconventional Fuels on Turbine Module Performance and Aeromechanics. ASME J Turbomach. 147(7):071008.

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.

Bottarelli T, Fanfani M, Nesi P, Pinelli L.  2025.  Using Physics-Informed Neural Networks for Solving Navier-Stokes Equations in Complex Scenarios. Engineering Applications of Artificial Intelligence. 148:110347.

Nesi F, Marconcini M, Arnone A, Girelli S, Alfani D, Silva P.  In Press.  Fast Turbomachinery Design Tools for Multi-Good Plants Based on sCO2 Cycles: the MUSIC Project Experience. ATI Annual Conference.

Metti L, Marconcini M, Salvadori S, Misul DAnna, Rosafio N, Lopes G, Lavagnoli S, Fang Y, Sandberg R, Pacciani R.  In Press.  The Impact of Transition and Turbulence Modeling on the SPLEEN High-Speed Low-Pressure Turbine Cascade. ASME J Turbomach.

Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A.  In Press.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part 1: Computational Opportunities and Methodology. ASME J Turbomach.

Rosenzweig M, Kozul M, Sandberg R, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  In Press.  Numerical Design of Experiments for Repeating Low-Pressure Turbine Stages Part 2: Effect of Reynolds Number on Different Blade Geometries. ASME J Turbomach.

Tani N, Rafanelli I, Pinelli L, Marconcini M.  In Press.  Numerical Investigation of Low Engine Order Excitations on the Last Rotor Blade of Steam Turbines. ATI Annual Conference.

Gu Y, Fang Y, Akolekar HD, Pacciani R, Marconcini M, Ooi ASH, Sandberg R.  Submitted.  Machine-Learning Strategies for Transition/Turbulence Modelling for Low-Pressure Turbines With Unsteady Inflow Conditions. 17th International Symposium on Unsteady Aerodynamics Aeroacoustics and Aeroelasticity of Turbomachines ISUAAAT17.