Abstract
A race bike is made for the competition against others. The crucial criteria for success are the fastest time or the crossing of the finish line in front of the competitors. For technical development, we need more information than time or race position to improve the performance of a bike. The aim of the present work is to close the missing link between the racing world and the engineering world. For this, the model must be able to replicate the movement in the real environment including the right reaction to all external influences like different upstream flow conditions and road uncertainties. The present paper points out the most important impact factors for straight line performance. It is shown that variations in the upstream flow conditions as well as variations in the drag coefficient, can have the same effect on the top speed. The paper highlights the need for a better understanding of the upstream flow conditions directly on the test object.
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Notes
- 1.
On race tracks the so-called grip is normally getting better during a race weekend due to more rubber on the surface.
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Feichtinger, C., Fischer, P. (2020). Stochastic Sensitivity of External Impact Factors on the Straight-Line Performance of a Generic Motorbike. In: Klomp, M., Bruzelius, F., Nielsen, J., Hillemyr, A. (eds) Advances in Dynamics of Vehicles on Roads and Tracks. IAVSD 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-38077-9_141
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DOI: https://doi.org/10.1007/978-3-030-38077-9_141
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