1. Project Title
Innovative contact-based multibody model for noise and vibration prediction in high performance gears
PRIN 2020
Period: 25/04/2022 – 24/04/2025
2. Project Description
The project aims to develop innovative models and tools to improve the design of high-performance gears, increasing efficiency and reducing vibration and noise. Based on flexible multibody models and optimization techniques, it integrates dynamic analysis and experimentation to create a comprehensive and predictive simulation environment.
3. Project Objectives
- Develop a multibody model based on the pseudo-rigid body method for three-dimensional modeling of tooth contact in gear transmissions.
- Develop a new multibody model based on the modal approach.
- Integrate an epistemic uncertainty model to analyze the effects of operating parameter variability on the dynamics of high-performance gears.
- Develop an acoustic model capable of translating vibrational results into equivalent acoustic power, mapping the rigid and flexible motion of gear surfaces.
- Experimentally validate the proposed models, comparing numerical results with laboratory tests and defining benchmarks useful for performance evaluation.
4. Partner e Stakeholder Involved
Coordinator: Giannini Oliviero, Università Niccolò Cusano
Academics:
- Università degli Studi Niccolò Cusano -Telematica Roma ,GIANNINI Oliviero
- Università degli Studi di ROMA "Tor Vergata", VALENTINI Pier Paolo
- Università degli Studi di GENOVA, FANGHELLA Pietro
- Politecnico di MILANO, PALAZZETTI Roberto
5. Budget and Financing
Budget: 795.106€
Financing institution: Ministero dell’Università e della Ricerca
PRIN: PROGETTI DI RICERCA DI RILEVANTE INTERESSE NAZIONALE – Bando 2020
6. Expected Impacts and Benefits
- Scientific advancement: Development of new integrated models to analyze gear dynamics, including transient, nonlinear, and acoustic phenomena.
- Technological innovation: Creation of accurate and fast predictive tools to design more efficient, quiet, and durable gears.
- Industrial transferability: Achievement of TRL 6, with potential development of software and plugins for advanced design.
- Social impact: Open access sharing of data, models, and benchmarks, benefiting the international scientific community.
- Economic and environmental benefits: Reduction of friction, energy consumption, and noise, resulting in significant savings and lower emissions in the automotive and energy sectors.
7. Contacts and References
Giannini Oliviero
oliviero.giannini@unicusano.it
Università degli Studi Niccolò Cusano -Telematica Roma
Valentini Pierpaolo
valentini@ing.uniroma2.it
Università degli Studi di Roma "Tor Vergata"
Fanghella Pietro pietro.fanghella@unige.it
Università degli Studi di Genova
Roberto Palazzetti
roberto.palazzetti@polimi.it
Politecnico di Milano
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