Data-Driven 3D Printed Textiles for Customized Garment Manufacturing

Ganit Goldstein

SMArchS Computation

Advisor: Skylar Tibbits

Readers: Nicholas de Monchaux & Cagri Zaman

This thesis investigates the potential for clothing to serve as an adaptable 'second skin' that can conform to the unique anatomical characteristics and movements of our bodies. Drawing inspiration from the unique qualities of our skin as a dynamic and responsive material, this thesis seeks to explore how we can gain insights from the skin's dynamic properties and intelligent capabilities to create Data-Driven Textiles. While 3D scanners and motion tracking technologies can build a true-toscale model of the body in seconds by combining actual measurements and Computer Aided Design modeling, there is still a gap between the collection of body data and its application to production processes. Therefore, utilizing this 3D body data for textile production in terms of shape, material choice, and assembly operations is not yet possible.

To address this gap, this thesis proposes a new methodology that directly manufactures garments based on personalized body form. Using the example of space suit design, this thesis proposes the use of personalized 3D body data to directly manufacture garments that respond to individual body silhouettes and movement patterns. The proposed pipeline includes three projects: robotic 3D printing, 2D mapped patterns with varying material properties, and conductive embroidery with a feedback system, all of which contribute to the creation of DataDriven Textiles. Thus, the methodology demonstrates dynamic material properties within fabric construction that are uniquely designed for an individual body.

By enhancing the wearer's experience of fit, performance, and mobility, the aim of this thesis is to unlock material agency in high-performance clothing by harmonizing the fabric and skin duality. Overall, This thesis introduces a novel method of computational design that creates a more dynamic relationship between material composition and the functional performance of the body in motion.