PhD Programme Research TopicsTopics XXXVIII cycle
Topics XXXVIII cycle
- Experimental analysis of gas turbine combustion process in presence of non-conventional flame concepts and variable hydrogen content fuels
- Development and validation of high-fidelity CFD models for the investigation of combustion process in gas turbines based on non-conventional flame concepts using variable content fuels
- Analysis of thermo fluid-dynamic processes in secondary flow systems and exhaust chambers of non-conventional turbines and expanders also operating with non-standard working fluids
- Development of numerical models for the CFD analysis of gas turbine combustion based on non-conventional fuel mixtures and flame concepts
- Development of Methods and Technologies for Diagnostics and Online Identification of Sustainable Mobility Solutions based on the Integration of multi-physical and multi-sensory data
- Energy Transition: scenarios for the production, distribution and final uses of hydrogen in hard-to-Abate sectors
- Analysis and design of high Mach centrifugal compressors
- Geothermal energy in support of renewables: helping the ecological transition
- Research and development of tools for the digital modelling, the simulation and the multi-physics geometric optimization
- Research and development of CAD, RE and AM-based methodologies for a personalized approach to patient care
- Modeling and optimization of machining and additive processes
- Advanced manufacturing approaches for aerospace components
- Development of engineering models for Circular Design and eco-profile assessment of industrial products
- Studies on the dynamic characterisation of steering boxes for self-driving vehicles
- Development and testing of autonomous navigation strategies in GNSS-denied scenarios
- Development of energy optimization strategies for railway applications
- Structural and fatigue optimization of railway vehicle components
- Study and morphological characterization of metal coatings for industrial applications
- Research and development in multi-modal behaviour models for Human-Robot Interaction and social decision making in biomedical contexts
- Research and development in Ultra-portable AI-based sensor systems for biomechanical and neurophysiological assessment in neurodegenerative disorders