Nonuniform structural properties of wings confer sensing advantages

• Published in: Journal of the Royal Society interface Vol. 20; no. 200; p. 20220765
• Main Authors: Weber, Alison I., Babaei, Mahnoush, Mamo, Amanuel, Brunton, Bingni W., Daniel, Thomas L., Bergbreiter, Sarah
• Format: Journal Article
• Language: English
• Published: England The Royal Society 22.03.2023
• Subjects: Animals; Biomechanical Phenomena; Finite Element Analysis; Flight, Animal; Insecta; Life Sciences–Engineering interface; Models, Biological; Wings, Animal; sensing; flapping flight; finite element analysis; flexible wings
• ISSN: 1742-5662; 1742-5689; 1742-5662
• DOI: 10.1098/rsif.2022.0765

Sensory feedback is essential to both animals and robotic systems for achieving coordinated, precise movements. Mechanosensory feedback, which provides information about body deformation, depends not only on the properties of sensors but also on the structure in which they are embedded. In insects, wing structure plays a particularly important role in flapping flight: in addition to generating aerodynamic forces, wings provide mechanosensory feedback necessary for guiding flight while undergoing dramatic deformations during each wingbeat. However, the role that wing structure plays in determining mechanosensory information is relatively unexplored. Insect wings exhibit characteristic stiffness gradients and are subject to both aerodynamic and structural damping. Here we examine how both of these properties impact sensory performance, using finite element analysis combined with sensor placement optimization approaches. We show that wings with nonuniform stiffness exhibit several advantages over uniform stiffness wings, resulting in higher accuracy of rotation detection and lower sensitivity to the placement of sensors on the wing. Moreover, we show that higher damping generally improves the accuracy with which body rotations can be detected. These results contribute to our understanding of the evolution of the nonuniform stiffness patterns in insect wings, as well as suggest design principles for robotic systems.