Favilli Francesco

Name: Francesco Favilli 

Linkedin: http://www.linkedin.com/in/francesco-favilli-0302ba1b1 

Contact mail: Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. 

Cycle: XVIII

Curriculum: Vehicle Engineering

Title of the PhD Project: Multiphysics Design Methodologies for Component Optimization and Efficiency Improvement of Off-Highway Vehicle Drivelines with Digital Twin-Based Virtual Validation

Supervisor(s): 

• Prof. F. Frendo 

• Prof. F. Bucchi 

In collaboration with: DANA 

Abstract of the PhD project: 

The increasing complexity of mechanical systems demands advanced tools for both design and operational phases, including fault identification. Digital twin technology addresses this need by replicating real-world system behavior under identical inputs while integrating multiphysics approaches to represent structural and multibody analysis within a unified virtual entity. This research develops a digital twin methodology for off-highway vehicle axles using onboard sensor data to provide transmission health monitoring, supporting fault diagnosis and predictive maintenance. Additionally, the framework serves as a rapid preliminary design tool, delivering cost-effective results that can be refined through specialized software when needed. This study specifically focuses on the structural component of off-highway vehicle’s axles.

Keywords: Digital Twin, Artificial Intelligence, Loads Monitoring, Loads Estimation,

Publications 

1. Favilli, F., Sgamma, M., Bucchi, F., Frendo, F., Leandri, P. Losa, M., 2024. A Novel Tire and Road Testing Bench for Modern Automotive Needs. Designs 2024, 8(4), 64.  https://www.mdpi.com/2842366 

Scopus: https://www.scopus.com/authid/detail.uri?authorId=60116950700&origin=resultslist 

Orcid ID: https://orcid.org/0009-0003-5357-0509  

Research Gate: https://www.researchgate.net/profile/Francesco-Favilli