Video analysis-based estimation of bearing friction factors
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2018-10-18
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Friction is an inherent factor in any real physical system, affecting, as it is
natural, the dynamics of the entire system. In particular, the computation of
friction losses are of special interest because friction factors can not be easily
predicted theoretically in an accurate manner. In oscillatory systems friction is
studied by two approaches, viscous and dry damping. Viscous damping is
usually treated in physics courses due to its relatively easy-to-find analytical
solution, whereas dry damping requires piece-wise solutions. This paper studies
friction factors affecting a customised experimental platform for electric
bikes. We seek to estimate the friction torque and then the coefficient of
friction, where the damping of its amplitude will be evaluated. We study the
oscillations of two different rolling systems. The first rolling system is a
rowlock, and the second is a bicycle wheel axis. In both systems amplitude
damping was measured and analysed. The experimental data for each rolling
system was obtained by visual information, recording oscillations using a
smartphone camera and then analysing it using Tracker, a freeware for video
analysis. Results show that both systems behave very close to a dry damped
oscillation. The model proposed matches properly the experimental data, and a
value for the friction torque and coefficient of friction in both systems was
estimated.
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