journal article·2024-06Open access

Allometric Scaling Reveals Evolutionary Constraint on Odonata Wing Cellularity via Critical Crack Length

Shahab Eshghi, Hamed Rajabi, Shaghayegh Shafaghi, Fatemeh Nabati, Sana Nazerian, Abolfazl Darvizeh, Stanislav N. Gorb

Advanced Science· Volume 11· Issue 23

Abstract

Abstract Scaling in insect wings is a complex phenomenon that seems pivotal in maintaining wing functionality. In this study, the relationship between wing size and the size, location, and shape of wing cells in dragonflies and damselflies (Odonata) is investigated, aiming to address the question of how these factors are interconnected. To this end, WingGram, the recently developed computer‐vision‐based software, is used to extract the geometric features of wing cells of 389 dragonflies and damselfly wings from 197 species and 16 families. It has been found that the cell length of the wings does not depend on the wing size. Despite the wide variation in wing length (8.42 to 56.5 mm) and cell length (0.1 to 8.5 mm), over 80% of the cells had a length ranging from 0.5 to 1.5 mm, which was previously identified as the critical crack length of the membrane of locust wings. An isometric scaling of cells is also observed with maximum size in each wing, which increased as the size increased. Smaller cells tended to be more circular than larger cells. The results have implications for bio‐mimetics, inspiring new materials and designs for artificial wings with potential applications in aerospace engineering and robotics.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Biomimetic flight and propulsion mechanisms · Tree Root and Stability Studies · Physiological and biochemical adaptations

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Functional Morphology and Biomechanics Zoological Institute Kiel University 24118 Kiel Germany

Division of Mechanical Engineering and Design School of Engineering London South Bank University London SE1 0AA UK

Mechanical Intelligence Research Group South Bank Applied BioEngineering Research (SABER) School of Engineering London South Bank University London SE1 0AA UK

Department of Mechanical Engineering Ahrar Institute of Technology and Higher Education Rasht 4193163591 Iran

Department Artificial Intelligence in Biomedical Engineering Friedrich‐Alexander‐Universität Erlangen‐Nürnberg Henkestraße 91 91052 Erlangen Germany

Faculty of Mechanical Engineering University of Guilan Rasht 4199613776 Iran

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