Hybrid machine-learning and finite-element design for flexible metamaterial wings
نویسندگان
چکیده
Insect wings are formed by intricate combinations of flexible membranes and rigid veins; such a structure enables excellent flight performance, adaptability to aerodynamic forces, biological functions. Comprehensive understanding the interplay between wing patterning dynamics has however not been achieved yet due enormous variability natural patterns extreme complexity modeling wing-air interactions. Therefore, design pattern for artificial is challenging. In contrast other studies mimicking insect wings, we propose usage metamaterials principles enable controllable dynamics, machine-learning techniques solve related multi-parameter optimization problem. We demonstrate advantages this hybrid approach finding practical with improved target property – enhanced lift. The obtained designs were manufactured means low-cost fused deposition (FDM) 3D-printer from single commercially available thermoplastic polyurethane (TPU) revealed required balance rigidity metamaterial “veins” flexibility base. Extensions our or analyses moving structures offer straightforward benefits in tackling wide range computationally complex vibroacoustic problems.
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ژورنال
عنوان ژورنال: Materials & Design
سال: 2022
ISSN: ['1873-4197', '0264-1275']
DOI: https://doi.org/10.1016/j.matdes.2022.110709