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Andrea Agnolucci
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Proceedings Papers

Centrifugal Compressor Stage Efficiency and Rotor Stiffness Augmentation via Artificial Neural Networks

Andrea Agnolucci, Michele Marconcini, Andrea Arnone, Lorenzo Toni, Angelo Grimaldi, Marco Giachi
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT37A014, June 7–11, 2021
Paper No: GT2021-59998
DOI: https://doi.org/10.1115/GT2021-59998
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Topics: Artificial neural networks, Compressors, Rotors, Stiffness, Optimization, Impellers, Design, Diffusers, Reynolds-averaged Navier–Stokes equations
Proceedings Papers

Aerodynamic Optimization of a Turbocharger Unit Based on the Overall Efficiency Enhancement of an Internal Combustion Engine for Stationary Power Production

Iacopo Catalani, Andrea Agnolucci, Francesco Balduzzi, Alessandro Bianchini, Andrea Arnone, Giovanni Ferrara, Giovanni Vichi, Alessandro Bellissima, Ryota Minamino, Go Asai
Proc. ASME. GT2021, Volume 6: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels; Microturbines, Turbochargers, and Small Turbomachines, V006T19A004, June 7–11, 2021
Paper No: GT2021-58843
DOI: https://doi.org/10.1115/GT2021-58843
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Topics: Energy generation, Internal combustion engines, Optimization, Turbochargers, Engines, Compressors, Simulation, Turbines, Aerodynamics, Automotive industry