Abstract
We report a direct relationship between wing flexural stiffness, wingbeat frequency, and mean aerodynamic force generation based on the wing morphological database for various insect species in hovering flight condition. Proposed correlations have shown the potential to predict the minimum aerodynamic force generation in flapping wings for a given flapping frequency with reasonable accuracy. The robustness of these correlations is demonstrated by validating them against the available experimental data for the various artificial flapping-wing configurations. These regression models can be used as first-order design tools which will save computational and experimental time while developing flapping-wing drones.
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