Antonio Pucciarelli
Aeronautical engineer
I am a passionate engineer with a deep fascination for the intricacies of fluid dynamics. More than just understanding the flow, I am driven to tackle challenges in this field by harnessing the power of machine learning. Whether it is optimizing performance or unlocking new possibilities, I am dedicated to pushing the boundaries of fluid dynamics through innovative solutions.
Explore my portfolio to discover how I am translating this passion into tangible results, particularly in the exciting field of turbomachinery.
About me
My journey & personal goals
Highly motivated aeronautical engineer with a strong foundation in fluid dynamics and a passion for innovation. Leveraged my MSc studies to specialize in CFD, turbomachinery design, and flow modeling. Proficient in coding, software development, machine learning, and GUI creation, expanding my skillset beyond traditional engineering.
Developed a novel machine learning method for turbomachinery design during a training program at the prestigious von Karman Institute for fluid dynamics. Currently extending this method to create a universal design tool applicable across a wider range of turbomachines. Eager to contribute my skills and enthusiasm to the aeronautical and naval field, with interests spanning external flow simulations, aeroelasticity, and turbomachinery
Skills
My experience level with techCoding languages
Fortran
Python
LaTeX
Matlab
OpenFOAM
C++
gnuplot
CMake
HTML/CSS
Operative systems
Linux/Debian
Windows
macOS
Softwares
MISES - MIT
SolidWorks
FeMap
NASA CEA
Paraview
SolidEdge
Inventor
xFoil
Career
Qualifications & projectsMSc in Aeronautical engineering
Politecnico di Milano - Italy Final grade: 101 / 110
03/2021 - 10/2023
Short training program
von Karman Institute for Fluid Dynamics - Belgium MSc thesis development: machine learning adapted to turbomachinery
09/2022 - 04/2023
Executive summary
von Karman Institute for Fluid Dynamics - BelgiumPolitecnico di Milano - Italy Data driven design method for high pressure turbine study: executive summary.
Thesis
von Karman Institute for Fluid Dynamics - BelgiumPolitecnico di Milano - Italy Data driven design method for high pressure turbine study: thesis.
Liquid rocket engine: design, analysis and simulation.
Spacecraft propulsion Politecnico di Milano - Italy
05/2022 - 05/2022
Solid rocket motor: analysis and simulation.
Spacecraft propulsion Politecnico di Milano - Italy
04/2022 - 05/2022
Turbomachinery blade: modeling and analysis.
Turbomachinery Politecnico di Milano - Italy
03/2022 - 05/2022
Combustion chamber: modeling and analysis.
Computational techniques for thermochemical propulsion Politecnico di Milano - Italy
10/2021 - 01/2022
EnelX app: value proposition analysis and validation.
High-tech startup, modeling and scaling up. Politecnico di Milano - Italy
09/2021 - 01/2022
Injector study and liquid jet breakup process in liquid rocket engines.
Combustion in thermochemical propulsion Politecnico di Milano - Italy
05/2021 - 06/2021
Satellite orbital transfer analysis.
Orbital dynamics Politecnico di Milano - Italy
05/2020 - 06/2020
Canard wing: modeling and analysis.
Modeling of aerospace structures Politecnico di Milano - Italy
05/2020 - 06/2020
RL10-A33A. Study and modeling.
Fundamentals of aerospace propulsion Politecnico di Milano - Italy
11/2019 - 06/2020
Programs
My coding and numerical experiencedatablade
A machine learning based program for the design and study of high-pressure and low-pressure turbine blades.
Contact me
Location
Milano - ItalySalerno - Italy