The purpose of the module is to provide fundamental knowledge about the state of the art and future developments in fluid machinery. The course will focus on the challenges associated with the necessary reduction of pollutant emissions from both power generation and propulsion fields. In fact, gas turbines will play a key role in grid balancing in a short-term scenario together with wind energy and solar energy, especially using hydrogen-containing energy carriers. In aviation, Sustainable Aviation Fuels will help reaching the goals defined by EU regulations but modifications in the gas turbine cycle will be necessary to reduce the specific fuel consumption, especially from medium to long range flights (> 3000km). Therefore, a description of both the current state of the art and the enabling technologies associated with the current design trends will be given. Basic knowledge of Computational Fluid Dynamics will also be delivered, including some information about optimization methods for gas turbine components. Finally, a demonstration of the capabilities of CFD in the simulation and optimization of gas turbine components will be released through a dedicated activity. The development of a project work (also as a small team, 2-3 components) on aero-thermal test cases (also from other research fields) proposed by the students will be requested as final exam.

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- Unsteady Flows in Turbine Stages (Inviscid Interaction in Turbine Stages, Secondary Flows in Turbomachinery, Effect of Non-Uniformities on Turbine Performance, Wake/Blade and Shock/Blade Interaction, Losses Breakdown in Gas Turbines). - Component Interaction Analysis (Compressor/Combustor Interaction, Combustor Simulators and Combustor/Turbine Interaction, Numerical Methods for Combustor/Turbine Interaction Analysis, Numerical Methods for Blade Row Interaction Analysis). - Current Technologies and Design Trends for Low-NOx Propulsion and Power Generation (including Gas Turbine Cooling Solutions and Pressure Gain Combustion). - Numerical Methods for Gas Turbine Components Simulation and Optimization. - Laboratory on Advanced Numerical Methods and Optimization of Aeroengine Components.

In presenza

Sviluppo di project work in team

P.D.1-1 - Gennaio

Timetable 2026 to be defined (five lessons).