Abstract

This paper discusses the experimental optimization of an artificial caudal fin to maximize thrust production. A combination of direct experimental measurement and Gaussian Process modeling was applied to optimize the time-averaged net thrust force produced by the fin panel. Specifically, this paper investigates the effect of the fin panel’s stiffness and flapping frequency on the thrust force. The Gaussian Process regression is primarily used to model the relationship between the flapping frequency and thrust force, with variations in the fin panel’s stiffness. Results show that the optimum flapping frequency that yields maximum force tends to decrease as the stiffness decreases. Furthermore, increasing the lateral amplitude displacement of the fin base leads to a higher time-averaged net thrust force. Further investigation shows that the phase difference between the trailing and leading edge of the oscillating fin should be about 90°to yield optimum time-averaged net thrust force.

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