Squeak Noise Prediction of a Door Trim Panel Using Harmonic Balance Method
Technical Paper
2020-01-1577
ISSN: 2641-9637, e-ISSN: 2641-9645
Sector:
Language:
English
Abstract
Squeak and rattle noise in a vehicle’s interior is perceived as an annoying sound by customers. Since persistent noise (e.g. engine, wind or drive train noise) has been reduced continuously during the last decades, the elimination of sounds, which have their origin in the vehicle’s interior components, is getting more important. Therefore, noise prediction based on simulation models is useful, since design changes can be realized at lower costs in early virtual development phases. For this task, linear simulation methods are state of the art for the identification of noise risk, but in general without knowing if a sound is audible or not. First approaches have been developed based on the Harmonic Balance Method to predict squeak noise and assess their audibility. This paper presents vibroacoustic measurements at a door trim panel for squeaking and non-squeaking configurations. Vibrations are excited harmonically by a force controlled low noise shaker. The system response is measured in a semi-anechoic chamber by acceleration sensors and audibility is assessed. Additionally, a 3D finite element model is built and the Harmonic Balance Method using a dry friction law is applied to predict the acoustic behavior. Finally, the simulation results are compared to the measurements. A good agreement between simulation and experiment can be observed.
Authors
Citation
Utzig, L., Fuchs, A., Weisheit, K., and Marburg, S., "Squeak Noise Prediction of a Door Trim Panel Using Harmonic Balance Method," SAE Int. J. Adv. & Curr. Prac. in Mobility 3(2):1108-1118, 2021, https://doi.org/10.4271/2020-01-1577.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 | ||
| Unnamed Dataset 4 |
Also In
SAE International Journal of Advances and Current Practices in Mobility
Number: V130-99EJ; Published: 2021-04-16
Number: V130-99EJ; Published: 2021-04-16
References
- Nolan , S.A. , Rediers , B.E. , Loftus , H.M. , and Leist , T. Vehicle Squeak and Rattle Benchmarking IMAC-XIV 483 489 1996
- Kavarana , F. , and Rediers , B. Squeak and Rattle - State of the Art and Beyond SAE Technical Paper 1999-01-1728 1999 https://doi.org/10.4271/1999-01-1728
- Power , J.D. https://www.jdpower.com/
- Stylidis , K. , Hoffenson , S. , Wickman , C. , Söderman , M. et al. Corporate and Customer Understanding of Core Values Regarding Perceived Quality: Case Studies on Volvo Car Group and Volvo Group Truck Technology Procedia CIRP 21 171 176 2014 10.1016/j.procir.2014.03.144
- Stylidis , K. , Wickman , C. , and Söderberg , R. Defining Perceived Quality in the Automotive Industry: An Engineering Approach Procedia CIRP 36 165 170 2015 10.1016/j.procir.2015.01.076
- Trapp , M. , and Chen , F. Automotive Buzz, Squeak and Rattle: Mechanisms, Analysis, Evaluation and Prevention First Butterworth-Heinemann Oxford 2012 9780750684965
- Zeller , P. Handbuch Fahrzeugakustik Wiesbaden) Springer Fachmedien Wiesbaden 2018 10.1007/978-3-658-18520-6
- Naganarayana , B.P. , Shankar , S. , Bhattachar , V.S. , Brines , R.S. et al. N-Hance: Software for Identification of Critical BSR Locations in Automotive Assemblies Using Finite Element Models SAE Technical Paper 2003-01-1522 2003 https://doi.org/10.4271/2003-01-1522
- Sohmshetty , R. , Kappagantu , R. , Naganarayana , B.P. , and Shankar , S. Automotive Body Structure Enhancement for Buzz, Squeak and Rattle SAE Technical Paper 2004-01-0388 2004 https://doi.org/10.4271/2004-01-0388
- Weber , J. , and Benhayoun , I. Squeak & Rattle Correlation in Time Domain Using the SAR-LINE TM Method SAE Int. J. Passeng. Cars - Mech. Syst. 5 3 1124 1132 2012 https://doi.org/10.4271/2012-01-1553
- iXtronics GmbH https://ix.ixtronics.com/de/edware
- Altair Engineering https://altairhyperworks.com/product/squeak-rattle-director
- BETA CAE Systems http://www.beta-cae.com/pdf/ansa_meta_squeak_and_rattle.pdf
- Her , J. , Hsieh , S.-R. , Li , W. , and Haddow , A. Quantitative Prediction of Rattle in Impacting System SAE Technical Paper 972059 1997 https://doi.org/10.4271/972059
- Fegelman , K.J.L. , and Grosh , K. Dynamics of a Flexible Beam Contacting a Linear Spring at Low Frequency Excitation: Experiment and Analysis Journal of Vibration and Acoustics 124 2 237 2002 10.1115/1.1426073
- Weisheit , K. , and Marburg , S. Calculation of the Response of a Periodically Excited Beam with Frictional Contact Using Harmonic Balance Method Procedia IUTAM 19 282 288 2016 10.1016/j.piutam.2016.03.035
- Weisheit , K. and Marburg , S. 2018
- Weisheit , K. , and Marburg , S. Squeak Noise Prediction for Systems with Dry Friction Damping SAE Technical Paper 2018-01-1483 https://doi.org/10.4271/2018-01-1483 2018
- Craig , R.R. , and Bampton , M.C.C. Coupling of Substructures for Dynamic Analyses AIAA Journal 6 7 1313 1319 1968 10.2514/3.4741
- Süß , D. 2016
- Cameron , T.M. , and Griffin , J.H. An Alternating Frequency/Time Domain Method for Calculating the Steady-State Response of Nonlinear Dynamic Systems Journal of Applied Mechanics 56 1 149 1989 10.1115/1.3176036
- Poudou , O. and Pierre , C. Hybrid Frequency-Time Domain Methods for the Analysis of Complex Structural Systems with Dry Friction Damping 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 2003 255 10.2514/6.2003-1411
- Süß , D. , and Willner , K. Investigation of a Jointed Friction Oscillator Using the Multiharmonic Balance Method Mechanical Systems and Signal Processing 52-53 73 87 2015 10.1016/j.ymssp.2014.08.003
- Powell , M.J. 1968
- Geisler , J. 2010
- Caughey , T.K. , and O’Kelly , M.E.J. Classical Normal Modes in Damped Linear Dynamic Systems Journal of Applied Mechanics 32 3 583 1965 10.1115/1.3627262
- Rayleigh 1945 9781108032216
- Ewins , D.J. Modal Testing: Theory and Practice Mechanical Engineering Research Studies Engineering Dynamics Series 1995 0863800173
- Ugray , Z. , Lasdon , L. , Plummer , J. , Glover , F. et al. Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization INFORMS Journal on Computing 19 3 328 340 2007 10.1287/ijoc.1060.0175
- Fritze , D. , Marburg , S. , and Hardtke , H.-J. Estimation of Radiated Sound Power: A Case Study on Common Approximation Methods Acta Acustica united with Acustica 95 5 833 842 2009 10.3813/AAA.918214
- Klaerner , M. , Wuehrl , M. , Kroll , L. , and Marburg , S. FEA-Based Methods for Optimising Structure-Borne Sound Radiation Mechanical Systems and Signal Processing 89 37 47 2017 10.1016/j.ymssp.2016.07.019