Biblio

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.

Baroni A, Catalani I, Romani L, Bicchi M, Balduzzi F, Marconcini M, Bianchini A, Arnone A, Ferrara G, Toni L et al..  2023.  A Critical Analysis on the Impact of External Losses on the Performance of a Centrifugal Compressor Stage – Experimental and Multi-Fidelity Numerical Assessment. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13D: Turbomachinery

Bicchi M, Marconcini M, Bellobuono E F, Belardini E, Toni L, Arnone A.  2023.  Multi-Point Surrogate-Based Approach for Assessing Impacts of Geometric Variations on Centrifugal Compressor Performance. Energies. 16:1584.

Bicchi M, Biliotti D, Toni L, Marconcini M, Grimaldi A, Arnone A.  2023.  A Two-Step Approach for Centrifugal Compressor Performance Mapping Based on a Reduced-Order Model and an Evolutionary Algorithm. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13D: Turbomachinery

Bicchi M, Biliotti D, Marconcini M, Toni L, Cangioli F, Arnone A.  2022.  An AI-Based Fast Design Method for New Centrifugal Compressor Families. Machines. 10(6)

Bicchi M, Pinelli L, Marconcini M, Gaetani P, Persico G.  2019.  Numerical Study of a High-Pressure Turbine Stage with Inlet Distortions. 74TH ATI NATIONAL CONGRESS: Energy Conversion: Research, Innovation and Development for Industry and Territories. AIP Conference Proceedings vol. 2191:020020.