EDUCATION:
2022 - Present: ALMA MATER STUDIORUM – UNIVERSITÀ DI BOLOGNA and FERRARI S.P.A. – GESTIONE SPORTIVA - Ph.D. in AUTOMOTIVE FOR INTELLIGENT MOBILITY – 38th cycle
Research Topic: Development of control simulation models / strategies for high performance hybrid power units.
Development of models to simulate and optimize Power Unit controls and strategies. Mainly focused on the development of 0D models and optimizers by means of convex optimization, dynamic programming, and nonlinear programming techniques.
2020-2022: MOTORVEHICLE UNIVERSITY OF EMILIA ROMAGNA (MUNER), MODENA, ITALY
M.Sc. in ADVANCED AUTOMOTIVE ENGINEERING – 110/110 cum laude
Curriculum: ADVANCED POWERTRAIN
Thesis: Zero-dimensional model of heat rejection for a F1 Power Unit
Implementation of a physical 0D model capable of predicting the heat fluxes inside the 2022 F1 internal combustion engine from telemetry input data. The simulation computes with a small error the amount of heat absorbed by the coolant and the quantity absorbed by the engine oil, therefore it is capable of instantaneously evaluating the Temperature of the coolant and the engine oil at the engine outlet.
The model is developed starting from analytical formula fitted with experimental data. The heat fluxes are modeled taking into consideration either the contribution given by all the convective and conductive fluxes occurring within the ICE or the heat losses due to frictions between different mechanical components. The model has been validated through a comparison with different experimental data coming from one of the internal testing benches.
2016-2020: POLITECNICO DI TORINO, TORINO, ITALY - B.Sc. in AUTOMOTIVE ENGINEERING – 106/110
Thesis: Incompressible inviscid flow simulation in a blade cascade by means of the potential-flow theory
Implementation of a MATLAB code capable of simulating the potential flow around a blade cascade starting from some input data: blade chord length, pitch of the row, incidence angle, stagger angle and velocity at infinite distance from the row. The code is also capable of evaluating the pressure coefficient and its variation in function of input data. The code is developed starting from Weinig’s theory: by means of conformal mathematical transformations it is possible to convert the flow around a circle into the flow around a row of airfoil. The theory is based on the hypothesis of an incompressible and inviscid flow. This code allows to simulate a 1D flow and can be used during the first designing steps of a new turbine to find the best combination of parameters for the specific case, saving time. Just a few minutes are needed to run the entire script and obtain the final results.
2014: KATTEGATTGYMNASIET, HALMSTAD, SWEDEN
Exchange Student
Taking part to school lessons in another country allowed to learn a new culture and attend extra courses in English, improving the use of the language. In a country where the school culture is very different compared to Italy (more focused on learning by doing rather than on theoretical studying) a lot of projects were written. The most interesting one about how to convert an existing house into a passive house or build a proper new one. A passive house is made to save energy; therefore, some thermodynamics studies were made.
EXPERIENCES
2022: FERRARI S.P.A. – GESTIONE SPORTIVA – POWER UNIT PERFORMANCE AND CONTROL STRATEGIES
Student Internship
▪ Optimization, validation and adaptation for the 2022 F1 engine of an existing Simulink capable of estimating the total heat rejection of the 2021 F1 engine.
▪ Creation of a new physical 0D model to identify the heat fluxes inside the 2022 F1 engine.
▪ Optimization of an existing 0D model of the 2022 F1 engine and ECU to speed up the simulation time.
2020-2022: FORMULA STUDENT - MORE MODENA RACING DRIVERLESS TEAM
Powertrain and Transmission Division Leader
▪ ECU Bosch MS6.2 set up with RaceCon System Configuration tool. Data analysis performed using WinDarab.
▪ Calibration of a SUZUKY GSXR-600 using a testing bench. With the aim of reducing oscillations at idle and low revving speeds without losing performance at higher speeds, the engine has been calibrated finding the optimal injection and ignition time and angles.
▪ Calibration of the launch control already implemented inside the ECU to optimize performances during acceleration test and lighten the amount of work performed by the autonomous system simplifying its implementation.
▪ Optimization of gear switching time in manual mode and implementation of gear switching logic to be adopted in autonomous mode.
▪ Implementation of controls to actuate the dc motors mounted on the vehicle.
▪ Redesign of the fuel tank to comply with formula SAE regulations.
PROJECTS
▪ Analysis of an existing manual gearbox for a Rally car: comparison between hypothetical and real gear ratios, evaluation of vehicle performance, proposal of a differential type to optimize the performance for the specific use.
▪ Simulink of an automatic gearbox: Simulink model based on planetary gearboxes and a control logic to simulate the gear shifting of a ZF8HP45.
▪ V8 flat-plane crankshaft engine vibration analysis: MATLAB simulation to find natural frequencies and modes of the system and compute the forces transmitted to the engine’s supports.
▪ Off-road 1DOF suspension optimization: MATLAB simulation of an off-road vehicle suspension subjected to a wash boarding phenomenon and optimization of suspension parameters to minimize risk of resonance in working conditions.
▪ Car induced vibrations on a bridge: study of effectiveness of a Tuned mass damper in reducing the
vibrations induced by the passage of a car on a single-span bridge. Analysis based on Galerkin-Bubnov
method.
▪ Redesign of Peugeot 106 Rallye engine for A7 Rally class: redesign of the series engine, originally designed for A5 category, to race in A7 category. The redesign follows the commercial path starting from a product planning and task clarification up to embodiment and detail design and validation.
▪ Hybridization of a Ford Fiesta 2017: Simulink model to compute fuel consumption and performances over a WLTP cycle of a Ford Fiesta 2017 with Mild Hybrid configuration. Commercial battery and Electric motor (EMRAX) adopted in the simulation.
▪ Hybridization of formula student driverless car: design of an IPM, an inverter and battery pack to
optimize the performance during dynamic formula student tests. Simlink of the hybrid vehicle over a typical race track. Design of battery charger to minimize the charging time, the current and the voltage ripple.
▪ Lightweight materials for high temperature applications in the automotive industry: overview of the materials used in lightweight solutions for applications in the automotive field considering both traditional ICE and innovative electric and hybrid powertrains.
SKILLS
- CAD and CAE Software: SolidWorks 3DExperience (CATIA) Nx9 HyperCad
- FEM Software: HyperMesh/Hyperworks Marc Mentat
- ECU Software: RaceCon Sysma WinDarab
- Other Software: MATLAB Star CCM+ MS Office
- Languages: Italian (Native) English (Proficient) French (Intermediate)
