Squeak and Rattle Prediction for Robust Product Development in the automotive industry
Doctoral thesis, 2021

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structural dynamics

finite element analysis

product development

squeak and rattle

sound quality

simulation

Author

Mohsen Bayani

Chalmers, Industrial and Materials Science

Included papers

Empirical characterisation of friction parameters for non-linear stick-slip simulation to predict the severity of squeak sounds

SAE International Journal of Vehicle Dynamics, Stability, and NVH,;Vol. 6(2021)

Journal article

Finite Element Model Reduction Applied to Nonlinear Impact Simulation for Squeak and Rattle Prediction

SAE International Journal of Advances and Current Practices in Mobility,;Vol. 3(2020)p. 1081-1091

Journal article

Resonance Risk and Mode Shape Management in the Frequency Domain to Prevent Squeak and Rattle

Journal of Vibration and Acoustics, Transactions of the ASME,;Vol. 144(2022)

Journal article

Squeak and rattle prevention by geometric variation management using a two-stage evolutionary optimization approach

Journal of Computing and Information Science in Engineering,;Vol. 22(2022)

Journal article

Analysis of sound characteristics to design an annoyance metric for rattle sounds in the automotive industry

International Journal of Vehicle Noise and Vibration,;Vol. 17(2021)p. 3-4

Journal article

Popular science description

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Research Project(s)

Squeak and Rattle Prediction for Robust Product Development

Volvo Cars, 2016-08-01 -- .

Categorizing

Subject Categories (SSIF 2011)

Production Engineering, Human Work Science and Ergonomics

Tribology

Applied Mechanics

Vehicle Engineering

Fluid Mechanics and Acoustics

Driving Forces

Sustainable development

Areas of Advance

Transport

Production

Materials Science

Identifiers

ISBN

978-91-7905-553-0

Other

Series

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5020

Publisher

Chalmers

Public defence

2021-12-03 14:00 -- 17:00

Virtual Development Laboratory (VDL), Hörsalsvägen 7A, and online Via Zoom (for passcode to the link below or reserve a seat at VDL, contact mohsen.bayani@volvocars.com)

Online

Opponent: Professor Mohamad Qatu, Eastern Michigan University, United States

More information

Latest update

11/18/2021