Biblio

Pacciani R, Marconcini M, Arnone A, Bertini F.  2010.  A CFD Study of Low Reynolds Number Flow in High Lift Cascades. ASME Turbo Expo. 7: Turbomachinery, Parts A, B and C:1525–1534.

Pacciani R, Marconcini M, Arnone A, Bertini F, Spano E, Rosa Taddei S, Sandberg RD.  2024.  Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures. ASME J. Turbomach.. 146(5):051009.

Pacciani R, Rossi E.  2002.  Simulazione degli Effetti di Alcuni Parametri Progettuali sull'Interazione Statore-Rotore in uno Stadio di Turbina HP. 57o Congresso Nazionale ATI. :IV–B27–33.

Pacciani R, Rubechini F, Marconcini M, Arnone A, Cecchi S, Daccà F.  2016.  A CFD-Based Throughflow Method With An Adaptive Formulation For The S2 Streamsurface. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy. 230(1):16-28.

Pacciani R, Rubechini F, Arnone A, Lutum E.  2010.  Calculation of Steady and Periodic Unsteady Blade Surface Heat Transfer in Separated Transitional Flow. ASME Turbo Expo 2010: Power for Land, Sea, and Air. 4: Heat Transfer, Parts A and B:891-900.

Pacciani R, Marconcini M, Arnone A, Bertini F.  2014.  URANS Prediction of the Effects of Upstream Wakes on High-Lift LP Turbine Cascades Using Transition-Sensitive Turbulence Closures. 68th Conference of the Italian Thermal Machines Engineering Association (ATI) . Energy Procedia 45:1097-1106.

Pacciani R, Marconcini M, Fadai-Ghotbi A, Lardeau S, Leschziner MA.  2009.  Calculations of High-Lift Cascades in Low Pressure Turbine Conditions Using a Three-Equation Model. ASME Turbo Expo 2009: Power for Land, Sea, and Air. 7: Turbomachinery, Parts A and B:pp.433-442.

Pacciani R, Marconcini M, Arnone A, Bertini F, Spano E, Rosa Taddei S, Sandberg RD.  2023.  Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13B: Turbomachinery

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.

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.

Pacciani R, Marconcini M, Arnone A.  2019.  Comparison of the AUSM+-up and Other Advection Schemes for Turbomachinery Applications. Shock Waves. 29(5):705-716.

Pacciani R, Marconcini M, Arnone A, Bertini F.  2013.  Predicting High-Lift Low-Pressure Turbine Cascades Flows Using Transition-Sensitive Turbulence Closures. ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. 6B: Turbomachinery:V06BT37A039;13pages.

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, Bertini F, Rosa Taddei S, Spano E, Zhao Y, Akolekar H, Sandberg R, Arnone A.  2021.  Assessment of Machine-Learned Turbulence Models Trained for Improved Wake-Mixing in Low Pressure Turbine Flows. Energies. 14(24):8327.

Pacciani R, Marconcini M, Bertini F.  2009.  Assessment of an Intermittency Based Approach to Separated Flow Transition Predictions in Low-Reynolds Number High-Lift Cascade Flow. 8th European Turbomachinery Conference (ETC8). :141-151.

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.

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. 9th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics. :297-307.

Pacciani R, Spano E.  2006.  Numerical Investigation of the Effect of Roughness and Passing Wakes on LP Turbine Blades Performance. ASME Turbo Expo. Conf. Proc. Vol. 6: Turbomachinery, Parts A and B:1713–1722.

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.

Pacciani R, Rubechini F, Arnone A, Lutum E.  2012.  Calculation of Steady and Periodic Unsteady Blade Surface Heat Transfer in Separated Transitional Flow. ASME Journal of Turbomachinery. 134(6):061037.

Pacciani R, Marconcini M, Arnone A.  2017.  A CFD-Based Throughflow Method With Three-Dimensional Flow Features Modelling. International Journal of Turbomachinery, Propulsion and Power . 2(3)

Paradiso B, Gatti G, Bellucci J, Mora A, Dossena V, Arcangeli L, Maceli N.  2017.  An Experimental and Numerical Investigation of the Performance Impact of a Heavily Off-Design Inlet Swirl Angle in a Steam Turbine Stage. ASME Turbo Expo 2017: Turbine Technical Conference and Exposition.

Pela A, Marconcini M, Arnone A, Toni L, Valente R, Agnolucci A, Grimaldi A, Pacciani R.  2023.  On the Feasibility of Helicity-Based Corrections of Turbulence Models for Improving RANS Predictions of Centrifugal Compressor Stages. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13D: Turbomachinery

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.

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).