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Simulating the Effect of Insulators in Reducing Disc Brake Squeele
Technical Paper
2005-01-3944
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Disc brake squeal is a very complicated phenomenon, and the influence of insulators in suppressing squeal is not fully understood. The aim of this paper is increase the understanding of the effect of insulators. A previous paper [1] presented an experimental technique for measuring the frequency- and temperature- dependent properties of viscoelastic materials currently used in insulators. The present work continues by considering the coupled vibrations of the brake pad and insulator. A comparison of natural frequencies found from experimental modal analysis and finite element modeling indicates agreement to with 5%. Experimentally determined modal loss factors of the brake pad vary dramatically with frequency, changing by a factor of 2 over the frequency range 2-11 kHz. A method for including this frequency dependence, as well as the frequency dependence of the insulator material, in state-of-the-art finite element software is proposed. This method uses forced response vectors from the complete frequency-dependent model to construct a reduced-order model with frequency-independent matrices. Agreement between the complete and reduced models is analytically guaranteed and numerically observed at a number of frequencies in the band of interest.
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Authors
Citation
McDaniel, J., Li, X., Elvenkemper, A., Wegmann, E. et al., "Simulating the Effect of Insulators in Reducing Disc Brake Squeele," SAE Technical Paper 2005-01-3944, 2005, https://doi.org/10.4271/2005-01-3944.Also In
SAE 2005 Transactions Journal of Passenger Cars: Mechanical Systems
Number: V114-6; Published: 2006-02-01
Number: V114-6; Published: 2006-02-01
References
- Flint et al Measurement and simulation of the complex shear modulus of insulators 2004 SAE paper 2004-01-2799
- Ginsberg, J.H. Mechanical and Structural Vibrations John Wiley & Sons, Inc. New York 2001
- Li, X. Power Flow Prediction in Vibrating Systems Via Model Reduction, Doctoral Dissertation Department of Aerospace and Mechanical Engineering, Boston University 2004