A flexible sandwich structure skin for camber morphing wing

P.N. Gautham Vigneswar, Shaikh Faruque Ali, A. Arockiarajan · SAGE Publications · 2025

This study presents a flexible sandwich structure skin for wing morphing, showcasing a novel assembly technique and successful prototype demonstration.

High AI ConfidenceStrong SourceWorking PrototypeDevelopment Stage

Plain English summary

The research investigates a flexible sandwich structure skin designed for wing morphing applications. It features a foam core and polypropylene face sheets, bonded with pressure-sensitive adhesive. The study includes experimental tests to confirm the skin's durability under bending and a prototype that demonstrates its functionality.

Why this matters

This research addresses the need for flexible materials in aerospace applications, particularly for morphing wings that can adapt to different flight conditions. Such advancements can enhance aircraft performance and efficiency, making them relevant for both industry and environmental considerations.

Key findings

  • The flexible sandwich structure skin can withstand large bending deflections.
  • The novel self-adjusting assembly technique integrates well with internal morphing mechanisms.
  • Experimental evaluations confirm the skin's durability without failure.
  • Finite element simulations assess operational stresses and deformations.
  • A working prototype has been fabricated and demonstrated.

What's new

The introduction of a self-adjusting assembly technique for integrating morphing mechanisms is a new contribution.

Limitations

The abstract does not provide details on the long-term performance or scalability of the proposed skin.

Commercial context

The prototype has been demonstrated, indicating potential for further development and application in the aerospace industry.

Publication

Publisher
SAGE Publications
Publication date
September 23, 2025
Research type
Paper
License
https://journals.sagepub.com/page/policies/text-and-data-mining-license

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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