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Random Puff Ang 4D Embroidery Garment by Rosalie Hsin-Ju Lin

Random Puff Ang 4D Embroidery Garment by Rosalie Hsin-Ju Lin is a highly esteemed winner of the very prestigious 2023 A' Design Award na Bakal in Disenyo ng Tekstil, Tela, Tekstura, Padron at Damit Competition Category.


BakalTekstil· 2023

Random Puff Ang 4D Embroidery Garment

by Rosalie Hsin-Ju Lin

Client: MIT Media Lab

A' Design Award na Bakal Winner in Tekstil Category

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Verified Award Winner

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Colors

The Design

About Random Puff Ang 4D Embroidery Garment

Ang RandomPuff ay isang novel puffer na gumagamit ng 4D embroidery puff para sa pagkakabukod ng damit. Ang mga puff sa una ay gawa-gawa ng patag at lalabas sa mga domes kapag nalantad sa init. Ang activated puffs ay nakakabit ng hangin sa pagitan ng panlabas na kapaligiran at ng nagsusuot upang panatilihing mainit ang katawan. Ang pag-unlad ay nagsasangkot ng paglikha ng isang library ng 4D embroidery material na mga interaksyon sa pagitan ng 'aktibong mga hibla' at 'static na tela'. Maaaring gumamit ang mga designer at developer ng mga computational na tool sa disenyo upang makipagtulungan sa mga end-user, na lumikha ng mga nobelang textile at softgood na disenyo na high-tech na fashion, personalized at sustainable.

The Recognition

About the A' Design Award na Bakal

Ang Random Puff Ang 4D Embroidery Garment ay nagwagi ng A' Design Award na Bakal, isang prestihiyosong pagkilalang iginagawad sa mga mahuhusay na disenyong tumutugon sa mga propesyonal at pang-industriyang kinakailangang inaasahan sa mga mahusay na pagkakadisenyong likha. Ang mga nagwagi ng Bakal ay nagpapakita ng dakilang husay, mataas na espesyalisasyon, dalubhasang pag-unawa at kakayahang malikhain ng kanilang mga lumikha. Inaasahang ang Random Puff Ang 4D Embroidery Garment ay isang lubos na pinahahalagahan, hinahangaan at minamahal na likhang praktikal at makabago. Ang disenyong ito na nagwagi ng A' Design Award na Bakal ay nagsasama ng pinakamahuhusay na kasanayan ng industriya at may mahuhusay na katangiang teknikal na may kasamang kaalaman at talento. Ang Random Puff Ang 4D Embroidery Garment ay iginagalang dahil sa kaingatan nito at idinisenyo upang maghatid ng mga pagpapabuti sa kalidad ng buhay na tumutulong gawing mas mabuting lugar ang mundo.

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.

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