Stefano Agradi
PhD thesis title: Development of a simplified multi-fidelity optimization framework for high-performance blading aerodynamics design of axial turbine multistage sections
Academic Tutor: Giacomo Persico
Academic Supervisors: Paolo Gaetani and Alessandro Romei
Affiliate external company or research group: Franco Tosi Meccanica S.p.A
PhD cycle: 40° (see all student profiles of the same cycle > LINK)
BSc: Mechanical Engineering, Politecnico di Milano
MSc: Mechanical Engineering, Politecnico di Milano
Thesis abstract
The industrially widespread process allows limited room for variations in blade design and their multi-stage coupling.
The net result is an iterative workflow that does not always guarantee optimality.
Personal interest in my research theme
In the current energy landscape, characterised by the need for decarbonization and rising energy demand, I believe conventional turbines remain central enablers for the emergence of new technologies.
Exploring the capabilities of new approaches to the design workflow, building on different optimisation strategies and multi-fidelity tools, allows me to tackle my daily challenges with a fascinating mix of creativity and rigour.










