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Undergraduate Research

Concurrent Textile Development and Garment Design Using Bistable Auxetics

Authors
  • Marcus McDermott (Cornell University)
  • Fatma Baytar orcid logo (Cornell University)

Abstract

This study explored the application of bistable auxetic metamaterials (BAMs) to garment design as a computational alternative to conventional patternmaking workflows. Auxetic materials, characterized by a negative Poisson’s ratio, offer unique opportunities for adaptive, body-responsive garments, yet their use in fashion remains limited. Addressing this gap, the research pursued two objectives: applying BAM patternmaking to non-idealized human body geometries and demonstrating that a slim-fit BAM garment can be donned without fully actuating into its secondary form. Using 3D body scans of a mannequin, computational tools were employed to flatten complex body meshes and generate auxetic cutting patterns via the BASS algorithm. A body-contoured bodice was fabricated as a proof-of-concept. Preliminary findings indicated that cell size and living hinge width can critically influence actuation, surface smoothness, and wearer comfort, while preserving mechanical integrity. The results demonstrated the feasibility of algorithmically controlled, body-specific auxetic garments and suggested broader implications for adaptive apparel. 

Keywords: bistable auxetic metamaterials, laser cutting, 3D body scanning

How to Cite:

McDermott, M. & Baytar, F., (2025) “Concurrent Textile Development and Garment Design Using Bistable Auxetics”, International Textile and Apparel Association Annual Conference Proceedings 82(1). doi: https://doi.org/10.31274/itaa.22024

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Published on
2025-12-17

Peer Reviewed