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In order to investigate friction-induced vibrations in automotive brake systems, the method of complex eigenvalue analysis (CEA) has been typically applied in industrial applications. Since the method is based on a linearized contact state between brake disc and pads, its suitability as a tool for assessing the stability of transient and strongly nonlinear mechanical systems, such as disc brakes, is put into question. On the other hand, time-domain investigations based on finite elements (FE) are not practicable, because the calculation times of nonlinear analyses are not feasible for the large FE models of industrial brake systems. In this work, the combination of model order reduction techniques, elastic multibody systems (MBS) and uncertainty analyses based on fuzzy arithmetic allows an efficient, transient and robust study of brake systems in the time domain.
Buchkauf
Simulation of friction-induced vibrations in automotive brake systems, Igor Asin Iroz
- Sprache
- Erscheinungsdatum
- 2018
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- Titel
- Simulation of friction-induced vibrations in automotive brake systems
- Sprache
- Englisch
- Autor*innen
- Igor Asin Iroz
- Verlag
- Shaker Verlag
- Erscheinungsdatum
- 2018
- ISBN10
- 3844060731
- ISBN13
- 9783844060737
- Kategorie
- Skripten & Universitätslehrbücher
- Beschreibung
- In order to investigate friction-induced vibrations in automotive brake systems, the method of complex eigenvalue analysis (CEA) has been typically applied in industrial applications. Since the method is based on a linearized contact state between brake disc and pads, its suitability as a tool for assessing the stability of transient and strongly nonlinear mechanical systems, such as disc brakes, is put into question. On the other hand, time-domain investigations based on finite elements (FE) are not practicable, because the calculation times of nonlinear analyses are not feasible for the large FE models of industrial brake systems. In this work, the combination of model order reduction techniques, elastic multibody systems (MBS) and uncertainty analyses based on fuzzy arithmetic allows an efficient, transient and robust study of brake systems in the time domain.