Francesco Mazzeo Email and Phone Number
- PhD Candidate in "Industrial and Environmental engineering" | Urban Air Mobility. Study and development of systems and technologies for the Urban Air Mobility. Focus on the performance analysis of eVTOL and UAV, electrification of helicopter design and study of innovative configurations. - MSc Double Degree in Aerospace Engineering at KTH-Royal Institute of Technology (Stockholm, SE) and Alma Mater Studiorum (Forlì, IT) Master thesis: Wind Energy and Wind Turbine Aerodynamics Keen on Aerodynamics and Fluid Dynamics, with good experience in experimental methods, data analysis, and numerical simulations. Additional academic knowledge of Flight Dynamics and Automatic Control Design. Drone enthusiast, keen on drone piloting and drone building - built my own FPV racing drone Fond of video making and video editing with drone and GoPro
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Postdoctoral ResearcherGerman Aerospace Center (Dlr)Modena, It -
Phd CandidateUniversità Degli Studi Di Modena E Reggio Emilia Nov 2021 - PresentModena, Emilia Romagna, ItaliaPhD title: "Study and development of systems and technologies for the Urban Air Mobility." Focus on the performance analysis of eVTOL and UAV, electrification of the helicopter design and study of innovative configurations. -
Visiting ResearcherDelft University Of Technology Sep 2023 - Mar 2024Delft, South Holland, Netherlands -
Master Thesis StudentKth-Kungliga Tekniska Högskolan Jan 2021 - Aug 2021Stockholm, Sweden"Performance analysis of a small-scale wind turbine at variable pitch and with pitch unbalance" - Wind Energy and Wind Turbines Aerodynamics - Carrying out wind tunnel experiments - Develop my own BEM code in Python - Perform CFD simulations with ANSYS FluentAbstract: When it comes to design a wind turbine rotor, several parameters have to be taken into account. The present work focuses on the inclination of the blades with respect to the rotor plane, namely the pitch angle. The main goal of the project was to design a smallscale wind turbine rotor for wind tunnel tests and in this thesis the optimization of a first prototype is presented. The characterization of the performances was carried out by coupling two different approaches: an experimental and a numerical one. For the experimental part, a proper setup was built and the wind turbine model was tested in a wind tunnel. The results were compared with a Blade Element Momentum theory code developed in Python, that involved also CFD simulations to assess the aerodynamic properties of the blade sections. The analysis characterized the performances at variable collective pitch in terms of power and thrust coefficient, showing that the initial blade design was not the optimal one. Therefore, the optimal pitch angle that maximize the power production was found for variable conditions. The second part of the experiments focused on the case of pitch unbalance and the potential risks connected to it. As a result, the analysis demonstrated that any kind of pitch unbalance generates losses in the power production and may lead to a possible increase of the thrust. To compare the results, a modified BEM code was developed by assuming an axisymmetric axial induction factor. Finally, an additional analysis on the wind turbine oscillations was made, finding a connection between lateral vibrations and rotor unbalance and revealing the resonance frequency of the structure.
Francesco Mazzeo Education Details
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Graduated -
110/110 E Lode -
110 E Lode -
Liceo Scientifico G.Marconi Pesaro100 E Lode
Frequently Asked Questions about Francesco Mazzeo
What company does Francesco Mazzeo work for?
Francesco Mazzeo works for German Aerospace Center (Dlr)
What is Francesco Mazzeo's role at the current company?
Francesco Mazzeo's current role is Postdoctoral Researcher.
What schools did Francesco Mazzeo attend?
Francesco Mazzeo attended Kungliga Tekniska Högskolan, Alma Mater Studiorum - Università Di Bologna, Alma Mater Studiorum - Università Di Bologna, Liceo Scientifico G.marconi Pesaro.
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Francesco Mazzeo
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Francesco Mazzeo
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