Biblio

Found 481 results
Author [ Keyword(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
LPT
Pacciani R, Marconcini M, Arnone A, Bertini F.  2014.  Predicting High-Lift Low-Pressure Turbine Cascades Flows Using Transition-Sensitive Turbulence Closures. ASME Journal of Turbomachinery. 136(5):051007.
Bertini F, Credi M, Marconcini M, Giovannini M.  2013.  A Path Toward the Aerodynamic Robust Design of Low Pressure Turbines. ASME Journal of Turbomachinery. 135:021018.
Pinelli L, Poli F, Di Grazia E, Arnone A, Torzo D.  2013.  A Comprehensive Numerical Study of Tone Noise Emissions in a Multistage Cold Flow Rig. 19th AIAA/CEAS Aeroacoustics Conference (34th AIAA Aeroacoustics Conference), 27-29 May.
AIAA paper 2013-2104
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).
Marconcini M, Pacciani R, Arnone A, Michelassi V, Pichler R, Zhao Y, Sandberg R.  2019.  Large Eddy Simulation and RANS Analysis of the End-Wall Flow in a Linear Low-Pressure-Turbine Cascade - Part II: Loss Generation. ASME Journal of Turbomachinery. 141(5):051004(9pages).
Giovannini M, Rubechini F, Marconcini M, Arnone A, Bertini F.  2019.  Reducing Secondary Flow Losses in Low-Pressure Turbines: The “Snaked” Blade. Int. J. Turbomach. Propuls. Power. 4(3):28.
Pichler R, Zhao Y, Sandberg R, Michelassi V, Pacciani R, Marconcini M, Arnone A.  2019.  Large-Eddy Simulation and RANS Analysis of the End-Wall Flow in a Linear Low-Pressure Turbine Cascade, Part I: Flow and Secondary Vorticity Fields Under Varying Inlet Condition. ASME Journal of Turbomachinery. 141(12):121005(10pages).
LS-89
Castelli N, Bacci T, Giuntini S, Pacciani R, Andreini A.  2025.  Numerical Prediction of the Heat Loads on a Turbine Vane Test Case. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 11: Turbomachinery
Machine Learning
Pela A, Marconcini M, Arnone A, Agnolucci A, Belardini E, Valente R, Grimaldi A, Toni L.  2025.  Convolutional Neural Network Approach for Impeller Blade Loading Inference. 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs).
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.
meta-model
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.
paper n.121
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.
Modeling
Cozzi L, Rubechini F, Arnone A, Schneider A, Astrua P.  2019.  Improving Steady CFD to Capture the Effects of Radial Mixing in Axial Compressors. ASME Turbo Expo 2019. Volume 2C: Turbomachinery:V02CT41A016.
ASME paper GT2019-90363
Maceli N, Arcangeli L, Arnone A.  2021.  Two Phase Flow CFD Modeling of a Steam Turbine Low Pressure Section: Comparison With Data and Correlations. ASME Turbo Expo 2021 Turbomachinery Technical Conference and Exposition. 8: Oil and Gas Applications; Steam Turbine
ASME paper GT2021-59645
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.
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-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.

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