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| Mouftah, Hussein T. |
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| Dugay, Fabrice |
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| Rettenmeier, Max |
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| Tomasch, Ernst | Graz |
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| Cornaggia, Greta |
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| Palacios-Navarro, Guillermo |
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| Uspenskyi, Borys V. |
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| Khan, Baseem |
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| Fediai, Natalia |
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| Derakhshan, Shadi |
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| Somers, Bart | Eindhoven |
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| Anvari, B. |
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| Kraushaar, Sabine | Vienna |
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| Kehlbacher, Ariane |
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| Das, Raj |
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| Werbińska-Wojciechowska, Sylwia |
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| Brillinger, Markus |
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| Eskandari, Aref |
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| Gulliver, J. |
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| Loft, Shayne |
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| Kud, Bartosz |
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| Matijošius, Jonas | Vilnius |
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| Piontek, Dennis |
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| Kene, Raymond O. |
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| Barbosa, Juliana |
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Leonelli, Luca
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Publications (8/8 displayed)
- 2022Investigations of Motorcycle Mid-Corner Instability Using a Three Degree-of-Freedom Minimal Model
- 2022Motorcycle Driveline Stability in a Minimal Model Including Roll Angle During a Braking Maneuvercitations
- 2022Driveline stability in racing motorcycles: analysis of a three degrees of freedom minimal model
- 2018Driveline instability of racing motorcycles in straight braking manoeuvrecitations
- 2017A study on the stability of a motorcycle wheel-swingarm suspension with chain transmissioncitations
- 2016A study of motorcycle chatter vibration with multibody models of increasing complexity
- 2013A Multibody Motorcycle Model for the Analysis and Prediction of Chatter VibrationsVolume 13: Transportation Systemscitations
- 2011Optimization of the suspension damping parameters of a sport motorcycle
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document
Investigations of Motorcycle Mid-Corner Instability Using a Three Degree-of-Freedom Minimal Model
Abstract
A minimal three degrees of freedom model is developed and used to investigate unstable modes during high roll angle and acceleration maneuvers. During high roll angle maneuvers, it is found that there are unstable modes in the 6 Hz to 9 Hz range. The modes share similar characteristics to that of the unstable driveline or “chatter” mode found in braking maneuvers, except at a lower frequency caused by the higher inertia about the roll axis, which is the facilitating factor to the tire vertical oscillations. Power analysis shows that a combination of tire frictional characteristics and governing relationships can lead to a phase lag between tire forces and tire slip velocities that causes to instability, and eigenvalue sensitivity analysis shows which modeling parameters have the most effect on the stability boundaries.
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