Active textile tailoring

Tessmer, Lavender; Dunlap, Carmel; Sparrman, Bjorn; Kernizan, Schendy; Laucks, Jared; Tibbits, Skylar

doi:10.1145/3305367.3327995

Cited by 6 publications

(3 citation statements)

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“…This influences the extent and direction of curling or flexing behaviour of the textile as seen in Abel et al's characterisation study of shape memory alloy wire knits [10]. Other examples include Han & Ahn's knit flowers [11], Granberry's self-fitting pants [15] and Tessemer et al's active tailored sweater [4].…”

Section: Programming Geometric Transformationsmentioning

confidence: 99%

“…Designers take advantage of this programmability to impart a greater degree of control over the textile preform's 3D geometry and mechanical performance, allowing freeform geometries and graded stiffness to be incorporated within a single part. These textiles have been used in lightweight applications, namely fibre-oriented ducting systems [2], automobile cabin carriers [3] and body-conforming clothing [4].…”

Section: Introductionmentioning

confidence: 99%

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Geometric control of thermoformable knitted textiles using raster images

Tan

Quek

Chia

et al. 2023

Smart Mater. Struct.

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CNC knitting technology offers great potential in the creation of thermoformable textiles that can be shaped and stiffened in response to heat. Our research explores how CNC knitting can be used to design and fabricate textiles with precisely allocated material and microstructure layouts. These layouts pre-program specific deformation mechanism(s) into the textile that bias it to form an intended geometry, forgoing the need for a mould during the thermoforming process. We fabricate these smart textiles by knitting two thermal-reactive yarns with different extents of shrinkage, in a double layered structure akin to a bilayer strip. We develop a computational design-to-fabrication pipeline that translates raster images into machine-knittable instructions. Referencing multi-material additive manufacturing principles and self-actuating textiles, this paper proposes several design strategies of dithered gradients, tessellated patches and origami creases, to convert input pixel data into a material distribution layout. When paired with our assisted thermoforming process, this layout induces specific deformations of the textile, such as uni-/multi-axial curling, periodic buckling and sharp folding. Our prototypes implement these strategies on the micro-, meso- and macroscale, leading to the design and fabrication of an architectural cladding panel (700 x 535 x 110 mm) and a patterned clutch bag (200 x 420 x 65 mm).

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Section: Programming Geometric Transformationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geometric control of thermoformable knitted textiles using raster images

Tan

Quek

Chia

et al. 2023

Smart Mater. Struct.

View full text Add to dashboard Cite

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“…The traditional anchoring methods continuously compress human limbs and can potentially cause damage to skin and muscles including blood flow restriction over long period of use or assistance [15]. Alternatively, active garments were developed for self-fitting capability and ease in donning and doffing by integrating a pneumatic actuator [20] or thermal-responsive shapechanging actuators [21]- [23] into a suit.…”

Section: Introductionmentioning

confidence: 99%

A Soft Fabric-based Shrink-to-fit Pneumatic Sleeve for Comfortable Limb Assistance

Diteesawat

Hoh

Pulvirenti

et al. 2022

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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Upper limb impairments and weakness are common post-stroke and with advanced aging. Rigid exoskeletons have been developed as a potential solution, but have had limited impact. In addition to user concerns about safety, their weight and appearance, the rigid attachment and typical anchoring methods can result in skin damage. In this paper, we present a soft, fabric-based pneumatic sleeve, which can shrink from a loose fit to a tight fit in order to anchor to the limbs temporarily, thereby enabling the application of mechanical assistance only when needed. The sleeve is comfortable, ergonomic and can be embedded unobtrusively with clothing. A mathematical model is built to simulate and design sleeves with different geometric parameters. The best sleeve was capable of generating a friction force of 98 N on the limb when inflated to 25 kPa. This sleeve was used to create a wearable assistive device, integrated with a cable-driven actuator. This device was able to lift a 1.44 kg forearm rig up to 95 degree at low pressure of 20 kPa. The device was tested with six healthy participants, in terms of fit, comfort and assistive functionality. The average acceptable sleeve pressure was found to be 33±4.7 kPa. All participants liked the appearance of the sleeve, with a high average perceived assistance score of 7.33±1.6 (out of 10). The shrink-to-fit sleeve is expected to significantly increase the development and adoption of soft robotic assistive devices and emerging powered clothing.

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