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Suppression of Friction-Induced Oscillations through Use of High-Frequency Dither Signals

Friction-induced oscillations occur in many engineering systems, often resulting
in noise, vibration, and excessive or uneven wear. This research addresses the
suppression of such oscillations, especially with application to braking systems, through
the use of high-frequency dither signals. Brake squeal is an annoying and elusive problem
too often present in braking systems of automobiles, trucks and aircraft.
In previous work, the effectiveness of high-frequency dither to eliminate squeal in
an automotive disc brake assembly was demonstrated experimentally. The main features
of the dither-squeal cancellation system was the application of a high frequency variation
in the brake pressure force accomplished by means of a piezoelectric stack placed behind
one of the brake pads.
This thesis contains a theoretical and numerical treatment of the application of
dither to frictional systems. Two types of systems are investigated. The first is a classic,
mass-on-a-moving belt problem, which experiences friction-induced oscillations similar
to those encountered in brake applications. The system is first studied using an analytical
technique based on the method of averaging. It is shown that, depending on the system,
friction, dither-waveform, and belt-speed parameters, dither can stabilize an unstable
system. However, in some cases, dither can destabilize an initially stable system. These
results are verified numerically using time integration. The second type of system
analyzed in this thesis is an annular plate with a rotating frictional device. The method of
multiple scales is used to predict subcritical regions of instability; the results are validated
using Floquet theory. The thesis treats both tangential and normal dither, the latter being closer to the brake application. It is found that normal dither, in addition to being harder
to analyze, is much less effective than tangential dither.

Identiferoai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/7150
Date24 June 2005
CreatorsMichaux, Michael Andre
PublisherGeorgia Institute of Technology
Source SetsGeorgia Tech Electronic Thesis and Dissertation Archive
Languageen_US
Detected LanguageEnglish
TypeDissertation
Format1327822 bytes, application/pdf

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