Biblio

Found 437 results
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neural networks
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
Navier–Stokes
Cavazzini A, Campobasso MS, Marconcini M, Pacciani R, Arnone A.  2019.  Harmonic balance Navier-Stokes analysis of tidal stream turbine wave loads. Recent Advances in CFD for Wind and​ Tidal Offshore Turbines. :pp37-49.
multi-stage LPT
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.
multi-row effects
Pinelli L, Vienni D, Tapinassi L, Michelassi V, Burberi C, Lorusso S, Ignesti M, Marconcini M.  2024.  Understanding the Aerodynamic Damping Behavior of an Axial Compressor Rotor for Industrial Applications. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 10A: Structures and Dynamics:V10AT21A016.
GT2024-128729
multi-fidelity
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.
mistuning
Biagiotti S, Pinelli L, Poli F, Vanti F, Pacciani R.  2018.  Numerical Study of Flutter Stabilization in Low Pressure Turbine Rotor with Intentional Mistuning. ATI 2018 - 73rd Conference of the Italian Thermal Machines Engineering Association.. Energy Procedia 148:98-105.
Biagiotti S, Pinelli L, Poli F, Vanti F, Pacciani R.  2018.  Numerical Study of Flutter Stabilization in Low Pressure Turbine Rotor with Intentional Mistuning. ATI 2018 - 73rd Conference of the Italian Thermal Machines Engineering Association.. Energy Procedia 148:98-105.
Biagiotti S, Pinelli L, Poli F, Vanti F, Pacciani R.  2018.  Numerical Study of Flutter Stabilization in Low Pressure Turbine Rotor with Intentional Mistuning. ATI 2018 - 73rd Conference of the Italian Thermal Machines Engineering Association.. Energy Procedia 148:98-105.
machine learning; multi-objective optimization; low pressure turbine; transition; turbulence modeling
Akolekar H, Waschkowski F, Zhao Y, Pacciani R, Sandberg R.  2021.  Transition Modeling for Low Pressure Turbines Using Computational Fluid Dynamics Driven Machine Learning. Energies. 14(15):4680.

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