Biblio

Found 361 results
Author [ Keyword(Desc)] Type Year
Filters: Author is Michele Marconcini  [Clear All Filters]
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feature importance
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
Generalized Shape Correction Method
Giovannini M, Marconcini M, Arnone A, Bertini F.  2014.  Evaluation of Unsteady Computational Fluid Dynamics Models Applied to the Analysis of a Transonic High-Pressure Turbine Stage. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy. 228(7):813-824.
geothermal
Milli L, Lottini F, Marconcini M, Arnone A.  2025.  CFD Investigation of Unsteady Interactions in a Radial-Axial Turboexpander for Geothermal Power Plant Applications. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition. 12: Turbomachinery:V012T35A006.
GT2025-153202
Grid dependence
Arnone A, Carnevale E A, Marconcini M.  1997.  Grid Dependency Study for the NASA Rotor 37 Compressor Blade. ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery:pp.V001T03A056;(9pages).
Harmonic Balance
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.
High Lift
Marconcini M, Rubechini F, Pacciani R, Arnone A, Bertini F.  2012.  Redesign of High-Lift Low Pressure Turbine Airfoils For Low Speed Testing. ASME Journal of Turbomachinery. 134(5):051017.
Pacciani R, Marconcini M, Arnone A, Bertini F.  2011.  An Assessment of the Laminar Kinetic Energy Concept for the Prediction of High-Lift, Low-Reynolds Number Cascade Flows. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy. 225(7):995-1003.
winner of 2011 SAGE Best Paper Award (JPE) http://pia.sagepub.com/cgi/collection/2011
Pacciani R, Marconcini M, Fadai-Ghotbi A, Lardeau S, Leschziner MA.  2011.  Calculation of High-Lift Cascades in Low Pressure Turbine Conditions Using a Three-Equation Model. ASME Journal of Turbomachinery. 133(3):031016.
Pacciani R, Marconcini M, Arnone A, Bertini F.  2012.  URANS Analysis of Wake-Induced Effects in High-Lift, Low Reynolds Number Cascade Flows. ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. 8: Turbomachinery, Parts A, B, and C:1521-1530.
ASME paper GT2012-69479.
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.
high-performance
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.
high-speed low-pressure turbine
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.
GT2025-153288. Recommended for publication on ASME J. Turbomach.
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.
Hill Chart
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.
Lyon, France, 26-28 October 2009, paper n.263

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