Random Puff 4D-Stickerei-Kleidungsstück by Rosalie Hsin-Ju Lin

Random Puff 4D-Stickerei-Kleidungsstück by Rosalie Hsin-Ju Lin is a highly esteemed winner of the very prestigious 2023 A' Design Award in Eisen in Textildesign Competition Category.

EisenTextil· 2023

Random Puff 4D-Stickerei-Kleidungsstück

by Rosalie Hsin-Ju Lin

Client: MIT Media Lab

A' Design Award in Eisen Winner in Textil Category

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Verified Award Winner

Verify Award Status for #145286

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About Random Puff 4D-Stickerei-Kleidungsstück

RandomPuff ist ein neuartiger Puffer, der 4D-Stickbällchen zur Isolierung des Kleidungsstücks verwendet. Puffs werden zunächst flach hergestellt und bilden bei Hitzeeinwirkung Kuppeln. Die aktivierten Puffs schließen Luft zwischen der Außenumgebung und dem Träger ein, um den Körper warm zu halten. Die Entwicklung umfasst die Erstellung einer Bibliothek von 4D-Stickmaterialinteraktionen zwischen „aktiven Fasern“ und „statischen Stoffen“. Designer und Entwickler können computergestützte Designtools nutzen, um mit Endbenutzern zusammenzuarbeiten und neuartige Textil- und Softgood-Designs zu entwickeln, die High-Tech-Mode, personalisiert und nachhaltig sind.

The Recognition

About the A' Design Award in Eisen

Random Puff 4D-Stickerei-Kleidungsstück ist Gewinner des A' Design Award in Eisen, einer prestigeträchtigen Anerkennung für gute Designs, die die beruflichen und industriellen Anforderungen erfüllen, die an gut gestaltete Schöpfungen gestellt werden. Eisen-Gewinner zeigen großes Können, hohe Spezialisierung, fachkundiges Verständnis und die kreative Kapazität ihrer Schöpfer. Von Random Puff 4D-Stickerei-Kleidungsstück wird erwartet, dass es eine hochgeschätzte, bewunderte und geliebte Schöpfung ist, die praktisch und innovativ ist. Dieses mit dem A' Design Award in Eisen prämierte Design integriert bewährte Branchenverfahren und weist kompetente technische Merkmale in Verbindung mit Know-how und Talent auf. Random Puff 4D-Stickerei-Kleidungsstück wird für seine Gründlichkeit geschätzt und ist darauf ausgelegt, Verbesserungen der Lebensqualität zu liefern, die dazu beitragen, die Welt zu einem besseren Ort zu machen.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Random Puff is a garment application leveraging the puffy transformation that traps air within the dome pocket to keep the body warm. The double curvature geometry becomes easily fabricated, and personalizable styling is available through the computational design process, which opens up a new design/manufacturing space for a puffy garment.
Dimensions & Packaging: 500mm x 30mm x 700mm. However, since it's a garment, it can be fold into the size of 300mm x 20mm x 200mm.
Tags: 4D embroidery
Production Technology: Heat-shrink thread. Neoprene. Machine embroidery. Processing visualizer.
Design Challenge: First, the force balance between active thread and static fabric is a fundamental challenge. There is too much fabric out there with labeled information that does not necessarily lead to our purpose. Second, tension issues happen when new threads or fabric are introduced to the machine. It takes a while to calibrate, and sometimes break the machine if the thread is too thick/thin, or the fabric is too thick/slippery/crispy. Third, to achieve the maximized bi-layer bending, we want to vary the force on both sides so that the inner side does not constraint the outer side.
Research: Research background:
This research demonstrates how machine embroidery with heat-shrinking fibers enables existing fabrics to be augmented with morphing fibers.

Methods/Tools:
Similar to sewing, embroidery is a technique of interlacing upper and bottom threads with the substrate in between, but digitally. For the hardware, a desktop, hobbyist embroidery machine can easily execute wanted samples. For the software, I mainly explored PEmbroidery and Inkstitch for different purposes. PEmbroider is an open-source library housed in Processing that offers a procedural coding environment to generate detailed embroidered files at point and line levels. Inkstitch is also an open-source plug-in embedded in Inkscape that provides a graphical user interface, which is more friendly for primary users.

Results/Insight:
I started off the material characterization by testing different substrates with the same embroidery parameters. Out of 10+ fabrics, fabrics that are lightweight with high springness can hold the morphed structure better. A series of embroidery parameters were also tested systematically with stroke width, density, peak-to-peak distance, stitch spacing, and threading material. The fiber actuator can be tuned from crease(low res) to bend(high res) in a linear pattern. The fiber can be arranged in curves, origami creases, or arbitrary shapes to form more complex pop-up geometry.
Inspiration: Working at a NIKE shoe industry, I realized the challenge of transformation between 3D to 2D or vice versa. There's still no clear solution for the tedious, laborious, wasteful process from prototyping to production.

Working as a R&D at a carbon fiber company, I got to witness the power of machine embroidery, where it can digitally place fibers. This way, it can reinforce the artifact in any direction, replace the lamination thus reducing the material waste, and digitalize the process from start to end.
Project Duration: The project started in September 2021 and finished in December 2021 in Cambridge, MA, United States.
Operation Flow: First, a closed-curve set of circles, squares, or other arbitrary shapes is generated within the area of a 2D clothing. Second, the design file will be translated to an embroidery file via Processing, a visual output, and procedural coding environment. Third, upload the file to a desktop hobbyist embroidery machine and start embroidery. Lastly, the garment comes out flat from the machine and users can customize where to activate the puffs by heating the embroidery pattern with a steamer or iron.
Team Members: Rosalie Hsin-Ju Lin
Skylar Tibbits
Jack Forman
Hiroshi Ishii
Image Credits: All IP, copyright, images, video credits belong to Rosalie Hsin-Ju Lin.