Programmable Surface Dimpling of Textile Metamaterials for Aerodynamic Control

David T. Farrell, Connor M. McCann, Antonio Elia Forte, Conor J. Walsh, Katia Bertoldi · Wiley · 2025

This research introduces a textile metamaterial that adapts its aerodynamic properties through a stretch-induced dimpling mechanism.

High AI ConfidenceStrong SourceLaboratory ResearchEarly Research

Plain English summary

The study presents a textile metamaterial designed to improve aerodynamic performance by changing its surface shape in response to stretching. This dimpling mechanism allows the material to adapt to varying wind speeds, enhancing its effectiveness in high-speed sports and other applications. Wind-tunnel tests and simulations were conducted to optimize the design and performance of the material.

Why this matters

This research addresses the limitations of static surfaces in dynamic environments, which is crucial for improving performance in sports and engineering applications. By enabling textiles to adapt their aerodynamic properties, this innovation could lead to significant advancements in wearables and other industries where fluid dynamics play a critical role.

Key findings

  • Textile metamaterial can adapt its aerodynamic profile through a stretch-induced dimpling mechanism.
  • The material can modulate drag force by up to 20% at specific wind speeds.
  • Active control of aerodynamic properties is possible through controlled stretching.
  • Wind-tunnel experiments validated the variable aerodynamic performance.
  • Finite Element simulations helped identify optimal material architectures.

What's new

The introduction of a stretch-induced dimpling mechanism in textile metamaterials for variable aerodynamic control is a new approach.

Limitations

The abstract does not provide details on the scalability or practical implementation of the textile metamaterial in real-world applications.

Commercial context

The research is still in the laboratory phase, with no indication of commercial availability.

Publication

Publisher
Wiley
Publication date
July 1, 2025
Research type
Paper
License
http://onlinelibrary.wiley.com/termsAndConditions#vor

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18