Biblio

Found 10 results
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Conference Paper
Akolekar H, Zhao Y, Sandberg R, Pacciani R.  2020.  Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Turbine Wake Mixing Prediction. ASME Turbo Expo 2020 Turbomachinery Technical Conference and Exposition. 2C: Turbomachinery:10.
paper GT2020-14732
Akolekar H, Waschkowski F, Sandberg R, Pacciani R, Zhao Y.  2022.  Multi-Objective Development of Machine-Learnt Closures for Fully Integrated Transition and Wake Mixing Predictions in Low Pressure Turbines. ASME Turbo Expo 2022 Turbomachinery Technical Conference and Exposition. Volume 10C: Turbomachinery
ASME paper GT2022-81091
Arnone A, Cattanei A, Nurzia F, Pacciani R, Zunino P.  2000.  A Two-Stage Low Pressure Gas-Turbine Model for Rotor-Stator Aerodynamic Interaction Investigations. XV Symposium of Measurement Techniques for Transonic and Supersonic Flows in Cascades and Turbomachines.
Firenze, Italy, September 2000
Conference Proceedings
Marconcini M, Pacciani R, Arnone A, Michelassi V, Pichler R, Zhao Y, Sandberg R.  2018.  LES and RANS analysis of the end-wall flow in a linear LPT cascade with variable inlet conditions, Part II: Loss generation. ASME Turbo Expo 2018: Turbine Technical Conference and Exposition. Volume 2B: Turbomachinery:pp.V02BT41A024;11pages.
paper GT2018-76450
Pichler R, Zhao Y, Sandberg R, Michelassi V, Pacciani R, Marconcini M, Arnone A.  2018.  LES and RANS Analysis of the End-Wall Flow in a Linear LPT Cascade: Part I — Flow and Secondary Vorticity Fields Under Varying Inlet Condition. ASME Turbo Expo 2018: Turbine Technical Conference and Exposition. Volume 2B: Turbomachinery:pp.V02BT41A020;11pages.
paper GT2018-76233