Abstract

Bioinspired 3D chiral microfliers, mimicking wind-dispersed seeds, have garnered significant attention for distributed environmental monitoring and wireless sensor networks. Prior researches have mainly focused on parameters such as wing fold angle and center-of-mass position. However, the critical role of wing tilt angle $(\gamma )$ remains underexplored, creating a knowledge gap in precise descent behavior control. In this work, we combine blade element theory with computational fluid dynamics simulations to quantitatively analyze the effects of $\gamma$ on rotating frequency $(f)$ and overall drag coefficient $(C_n)$. Our findings reveal a non-monotonic relationship between $\gamma$ and both rotating frequency $(f)$ and overall drag coefficient $(C_n)$, with optimal performance achieved at intermediate wing tilt angles. These findings provide fundamental insights into microflier aerodynamics while offering practical guidelines for performance optimization. The established relationships enable customized design of descent behaviors, from prolonged hovering for environmental sensing to rapid descent for time-critical deployments.

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