Innovative contact-based multibody model for noise and vibration prediction in high performance gears

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

Link:

https://hypergears.it/ 

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