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ATTIVITÀ DI TESI
GCI: CFD Modelling and Simulation of high-efficiency Gasoline Compression Ignition (GCI) combustion performed in a multi-cylinder light-duty engine.
H2ICE: Modelling and Calibration of H2-ICE based on machine learning and artificial intelligence methodologies.
Greenest360: Modelling and Feasibility study of green hydrogen-based solutions for energy sustainability and micro-grid development.
UA-SCRE: Modelling of high-efficiency Reactivity Controlled Compression Ignition (dual-fuel) combustion performed in a single-cylinder heavy-duty research engine.
H2-GTE: Modelling and performance evaluation of Aeronautics Turboshaft Gas Turbine engine fueled with hydrogen.
AMB for GT: Modelling and performance evaluation of Small Gas Turbine equipped with additive manufactured ceramic blades.
LAB-FO: Test cell monitoring and control systems development.
LAB-FO: Design of hydrogen storage and distribution system of hydrogen for testing facility.
Washer Sensor: Low-cost piezoelectric sensor development for combustion indexes estimation based on machine learning and artificial intelligence methodologies.
Pubblicato il: 08 febbraio 2023
