A stochastic approach to predicting brake squeal propensity

Zhang, Z; Oberst, S; Lai, JCS

A stochastic approach to predicting brake squeal propensity

Zhang, Z Oberst, S

Lai, JCS

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Publication Type:: Conference Proceeding
Citation:: 21st International Congress on Sound and Vibration 2014, ICSV 2014, 2014, 1 pp. 629 - 636
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Zhang, Z	en_US
dc.contributor.author	Oberst, S https://orcid.org/0000-0002-1388-2749	en_US
dc.contributor.author	Lai, JCS	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	21st International Congress on Sound and Vibration 2014, ICSV 2014, 2014, 1 pp. 629 - 636	en_US
dc.identifier.isbn	9781634392389	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121200
dc.description.abstract	Brake squeal as a significant noise, vibration and harshness (NVH) issue to the automotive industry is triggered by friction-induced self-excited vibration. Validating theoretical predictions using analytical or numerical models against experiments is difficult because the test results are often not repeatable even under apparently similar operating conditions. The poor repeatability of brake squeal could be attributed to the nonlinearity of the dynamics involved and the uncertainties associated with material properties, boundary conditions (such as contact pressure, temperature, stiffness, exact area of contact) and operating conditions. In this paper, a stochastic approach to predicting brake squeal propensity is examined using an analytical model of a popular 4-DOF friction oscillator with constant friction coefficient. Instability of this model is first estimated using the conventional linear complex eigenvalue analysis (CEA) and compared with calculations of positive friction work. The sensitivity of this deterministic model to variations of parameters such as spring stiffness and damping coefficient is studied. To account for uncertainties in the exact values of parameters, the analytical model is studied using polynomial chaos expansions with beta distribution on a set of Jacobi polynomials. Probabilities for instabilities based on positive friction work are determined and the implications for estimating squeal propensity in a full brake system are discussed.	en_US
dc.relation.ispartof	21st International Congress on Sound and Vibration 2014, ICSV 2014	en_US
dc.title	A stochastic approach to predicting brake squeal propensity	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	010204 Dynamical Systems in Applications	en_US
utslib.for	091301 Acoustics and Noise Control (excl. Architectural Acoustics)	en_US
utslib.for	091304 Dynamics, Vibration and Vibration Control	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

Brake squeal as a significant noise, vibration and harshness (NVH) issue to the automotive industry is triggered by friction-induced self-excited vibration. Validating theoretical predictions using analytical or numerical models against experiments is difficult because the test results are often not repeatable even under apparently similar operating conditions. The poor repeatability of brake squeal could be attributed to the nonlinearity of the dynamics involved and the uncertainties associated with material properties, boundary conditions (such as contact pressure, temperature, stiffness, exact area of contact) and operating conditions. In this paper, a stochastic approach to predicting brake squeal propensity is examined using an analytical model of a popular 4-DOF friction oscillator with constant friction coefficient. Instability of this model is first estimated using the conventional linear complex eigenvalue analysis (CEA) and compared with calculations of positive friction work. The sensitivity of this deterministic model to variations of parameters such as spring stiffness and damping coefficient is studied. To account for uncertainties in the exact values of parameters, the analytical model is studied using polynomial chaos expansions with beta distribution on a set of Jacobi polynomials. Probabilities for instabilities based on positive friction work are determined and the implications for estimating squeal propensity in a full brake system are discussed.

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http://hdl.handle.net/10453/121200