An experimental data-driven mass-spring model of flexible Calliphora wings
Hung Truong, Thomas Engels, Henja Wehmann, Dmitry Kolomenskiy,, Fritz-Olaf Lehmann, Kai Schneider

TL;DR
This paper develops a data-driven, computationally efficient mass-spring model for deformable Calliphora wings, enabling detailed fluid-structure interaction simulations that reveal how wing flexibility affects aerodynamic performance.
Contribution
It introduces a novel multi-parameter mass-spring wing model trained with experimental data and coupled with high-performance flow simulations to study insect wing aerodynamics.
Findings
Flexible wings improve lift-to-drag ratio.
Wing flexibility reduces peak forces during rotation.
Elastic properties are similar across individuals with different stiffness.
Abstract
Insect wings can undergo significant deformation during flapping motion owing to inertial, elastic and aerodynamic forces. Changes in shape then alter aerodynamic forces, resulting in a fully coupled Fluid-Structure Interaction (FSI) problem. Here, we present detailed three-dimensional FSI simulations of deformable blowfly (Calliphora vomitoria) wings in flapping flight. A wing model is proposed using a multi-parameter mass-spring approach, chosen for its implementation simplicity and computational efficiency. We train the model to reproduce static elasticity measurements by optimizing its parameters using a genetic algorithm with covariance matrix adaptation (CMA-ES). Wing models trained with experimental data are then coupled to a high-performance flow solver run on massively parallel supercomputers. Different features of the modeling approach and the intra-species variability of…
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