Biblio

Pela A, Marconcini M, Arnone A, Agnolucci A, Toni L, Belardini E, Valente R, Grimaldi A.  Submitted.  Convolutional Neural Network Approach for Impeller Blade Loading Inference. 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs).

Pela A, Marconcini M, Arnone A, Agnolucci A, Toni L, Belardini E, Valente R, Grimaldi A.  Submitted.  Convolutional Neural Network Approach for Impeller Blade Loading Inference. 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs).

Fang Y, Reissmann M, Pacciani R, Zhao Y, Ooi ASH, Marconcini M, Akolekar HD, Sandberg RD.  Submitted.  Exploiting a Transformer Architecture to Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions. ASME J Turbomach.

Giannini G, Pinelli L, Pacciani R, Arnone A, Bertini F, Spano E, Marconcini M.  Submitted.  The Impact of Modeling Assumptions on the Hot Spots Convection Within a Cooled High-Pressure Turbine Stage. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition.

Milli L, Lottini F, Marconcini M, Arnone A.  In Press.  CFD Investigation of Unsteady Interactions in a Radial-Axial Turboexpander for Geothermal Power Plant Applications. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition.

Batisti M, Marconcini M, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  In Press.  Experimental and Numerical Rotating Stall Investigation of a Multistage Centrifugal Compressor. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition.

Batisti M, Marconcini M, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  In Press.  Experimental and Numerical Rotating Stall Investigation of a Multistage Centrifugal Compressor. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition.

Bandini A, Arcangeli L, Paggini A, Nenciolini A, Iobbi M, Pinelli L, Marconcini M, Arnone A.  In Press.  An Inquiry Into the Aerodynamic and Aeromechanic Aspects on Next-Generation CO2-SO2 Power Turbines for Sustainable Applications: The Case of the Desolination Project. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition.

Bandini A, Arcangeli L, Paggini A, Nenciolini A, Iobbi M, Pinelli L, Marconcini M, Arnone A.  In Press.  An Inquiry Into the Aerodynamic and Aeromechanic Aspects on Next-Generation CO2-SO2 Power Turbines for Sustainable Applications: The Case of the Desolination Project. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition.

Rosenzweig M, Kozul M, Sandberg RD, Giannini G, Pacciani R, Marconcini M, Arnone A, Spano E, Bertini F.  In Press.  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.

Rosenzweig M, Kozul M, Sandberg RD, Giannini G, Pacciani R, Marconcini M, Arnone A.  In Press.  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.

Pela A, Marconcini M, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  In Press.  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, Agnolucci A, Belardini E, Grimaldi A, Toni L, Valente R, Arnone A.  In Press.  Towards the Automatic Generation of Transonic Centrifugal Impellers by Deep Learning and Feature Importance Techniques. ASME Turbo Expo 2025 Turbomachinery Technical Conference and Exposition.

Batisti M, Pinelli L, Toni L, Guglielmo A, Marconcini M, Arnone A.  2025.  Innovative Cavity Modeling for Centrifugal Compressors Aeromechanical Analysis. ASME J Turbomach. 147(4):041015.

Bandini A, Bettini C, Peruzzi L, Caretta M, Canelli C, Marconcini M, Pinelli L, Arnone A.  2025.  Targeting Full-Hydrogen Operation on Industrial-Scale Gas Turbines: Impact of Unconventional Fuels on Turbine Module Performance and Aeromechanics. ASME J Turbomach. 147(7):071008.

Lottini F, Bicchi M, Agnolucci A, Marconcini M, Arnone A.  2024.  Artificial Intelligence-Based Performance Maps for Expander-Compressor Analysis in Energy Transition Applications. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery:V12DT35A026.

Lottini F, Bicchi M, Agnolucci A, Marconcini M, Arnone A.  2024.  Artificial Intelligence-Based Performance Maps for Expander-Compressor Analysis in Energy Transition Applications. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery:V12DT35A026.

Fang Y, Zhao Y, Akolekar HD, Ooi ASH, Sandberg RD, Pacciani R, Marconcini M.  2024.  A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low- and High-Pressure Turbines. ASME J. Turbomach.. 146(9):091005.

Fang Y, Reissmann M, Pacciani R, Zhao Y, Ooi A, Marconcini M, Akolekar H, Sandberg R.  2024.  Exploiting a Transformer Architecture to Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12C: Turbomachinery:V12CT32A023.

Pela A, Marconcini M, Arnone A, Agnolucci A, Toni L, Valente R, Belardini E.  2024.  Exploiting Deep Learning for the Optimization of Transonic Centrifugal Impellers. Journal of Physics Conference Series - 79th ATI National Conference. 2893

Pela A, Marconcini M, Arnone A, Agnolucci A, Toni L, Valente R, Belardini E.  2024.  Exploiting Deep Learning for the Optimization of Transonic Centrifugal Impellers. Journal of Physics Conference Series - 79th ATI National Conference. 2893

Pinelli L, Marconcini M, Arnone A, Bacci D.  2024.  High Fidelity Modeling of Acoustic Liners For Aeronautical Applications. 34th Congress of the International Council of the Aeronautical Sciences.

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.

Batisti M, Pinelli L, Toni L, Guglielmo A, Marconcini M, Arnone A.  2024.  Innovative Cavity Modeling for Centrifugal Compressors Aeromechanical Analysis. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery :V12DT35A025.

Pinelli L, Poli F, Arnone A, D’Ettole A G, Rosso E, Sartor G, Kharyton V.  2024.  The Role of Operating Conditions on Flutter Instability of a Low-Pressure Turbine Rotor. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 10A: Structures and Dynamics:V10AT21A014.