Found 243 results
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Filters: Author is Michele Marconcini  [Clear All Filters]
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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
High-performance computing
Savio P, Scionti A, Vitali G, Viviani P, Vercellino C, Terzo O, Nguyen H-N, Magarielli D, Spano E, Marconcini M et al..  2023.  Accelerating Legacy Applications with Spatial Computing Devices. Journal of Supercomputing. 79:7461–7483.
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)
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.
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.
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).
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.
Giovannini M, Rubechini F, Marconcini M, Arnone A, Bertini F.  2016.  Analysis of a LPT Rotor Blade For a Geared Engine. Part I: Aero-Mechanical Design and Validation. ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. 2B: Turbomachinery:V02BT38A053;12pages.
energy flexibility; response to energy demand; retrofittable solutions; axial compressor; off-design
Ricci M, Mosele S G, Benvenuto M, Astrua P, Pacciani R, Marconcini M.  2022.  Retrofittable Solutions Capability for Gas Turbine Compressors. Int. J. Turbomach. Propuls. Power. 7(1):3.
Dual Time Stepping
Arnone A, Marconcini M, Pacciani R.  1999.  On the Use of Dual Time Stepping in Unsteady Turbomachinery Flow Calculations. Ercoftac Bulletin on Turbomachinery. 42:37–42.
Arnone A, Marconcini M, Pacciani R.  2000.  On the Use of Unsteady Methods in Predicting Stage Aerodynamic Performance. 9th ISUAAAT, Unsteady Aerodynamics, Aeroacustics and Aeroelasticity of Turbomachines. :24–36.
9th ISUAAAT, September 4–8, Lyon, France
Distributed loss model
Pacciani R, Marconcini M, Arnone A.  2017.  A CFD Based Throughflow Method with Three-Dimensional Flow Features Modelling. 12th European Conference on Turbomachinery Fluid Dynamics & Thermodynamics ETC12.
paper ETC2017-329