A compiler for 3D machine knitting

McCann, James; Albaugh, Lea; Narayanan, Vidya; Grow, April; Matusik, Wojciech; Mankoff, Jennifer; Hodgins, Jessica K.

doi:10.1145/2897824.2925940

Cited by 133 publications

(70 citation statements)

References 16 publications

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“…In Printing Teddy Bears, for instance, Hudson [2014] shows how to 3D print using soft thread. A felting needle on a custom 3D printer b c a Figure 2.8: Soft 3D Printing: (a) printing with a felting needle [Hudson, 2014], (b) a 3D object created with a knitting machine [McCann et al, 2016], (c) cutting fabric from a roll and laminating it [Peng et al, 2015a].…”

Section: Soft Materialsmentioning

confidence: 99%

Personal Fabrication

Baudisch

Mueller

2017

FNT in Human–Computer Interaction

120

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While fabrication technologies have been in use in industry for several decades, expiring patents have recently allowed the technology to spill over to technology-enthusiastic "makers". The big question now is whether the technology will further progress towards consumers, which would allow the technology to scale from hundreds of thousands of users to hundreds of millions of users. Such a transition would enable consumers to use computing not just to process data, but for physical matter. This holds the promise of democratizing a whole range of fields preoccupied with physical objects, from product design to interior design, to carpentry, and to some areas of mechanical and structural engineering. It would bring massive, disruptive change to these industries and their users. We analyze similar trends in the history of computing that made the transition from industry to consumers, such as desktop publishing and home video editing, and come to the conclusion that such a transition is likely. Our analysis, however, also reveals that any transition to consumers first requires a hardware + software system that embodies the skills and expert knowledge that consumers lack: (1) hardware and materials that allow fabricating the intended objects, (2) software that embodies domain knowledge, (3) software that embodies the know-how required to operate the machinery, and (4) software that provides immediate feedback and supports interactive exploration. At the same time, sustained success will only be possible if we also consider future implications, in particular (5) sustainability and (6) intellectual property. We argue that researchers in HCI and computer graphics are well equipped for tackling these six challenges. We survey the already existing work and derive an actionable research agenda.

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Section: Soft Materialsmentioning

confidence: 99%

Personal Fabrication

Baudisch

Mueller

2017

FNT in Human–Computer Interaction

120

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“…To make this technology accessible to a wider audience, McCann et al . [MAN*16] proposed a compiler for 3D machine knitting that translates high‐level shapes to machine instructions. In contrast, Hudson [Hud14] presented a new type of device that fabricates 3D objects from soft fibers and demonstrated the process by manufacturing soft teddy bears.…”

Section: Methodsmentioning

confidence: 99%

State of the Art on Stylized Fabrication

Bickel

Cignoni

Malomo

et al. 2018

Computer Graphics Forum

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Digital fabrication devices are powerful tools for creating tangible reproductions of 3D digital models. Most available printing technologies aim at producing an accurate copy of a tridimensional shape. However, fabrication technologies can also be used to create a stylistic representation of a digital shape. We refer to this class of methods as ‘stylized fabrication methods’. These methods abstract geometric and physical features of a given shape to create an unconventional representation, to produce an optical illusion or to devise a particular interaction with the fabricated model. In this state‐of‐the‐art report, we classify and overview this broad and emerging class of approaches and also propose possible directions for future research.

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“…4). For more details of how machine knitting works, McCann et al 12 have given a thorough explanation. Other tutorials and introductions to machine knitting principles can also be found in Spencer 25 and Sadhan.…”

Section: Machine Knittingmentioning

confidence: 99%

SensorKnit: Architecting Textile Sensors with Machine Knitting

OuJifei

OranDaniel

Derek

et al. 2019

3D Printing and Additive Manufacturing

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This article presents three classes of textile sensors exploiting resistive, piezoresistive, and capacitive properties of various textile structures enabled by machine knitting with conductive yarn. Digital machine knitting is a highly programmable manufacturing process that has been utilized to produce apparel, accessories, and footwear. By carefully designing the knit structure with conductive and dielectric yarns, we found that the resistance of knitted fabric can be programmatically controlled. We also present applications that demonstrate how knitted sensor can be used at home and in wearables. While e-textiles have been well explored in the field of interaction design, this work explores the correlation between the local knitted structure and global electrical property of a textile.Opposite page: Scanning Electron Micrograph of the conductive yarn. It is a multicore fiber coated with silver nano particles. White area is the silver coating. Photo Credit: Daniel Oran.

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A compiler for 3D machine knitting

Abstract: Figure 1: Our compiler processes high-level primitives into low-level instructions for production on industrial knitting machines.

Cited by 133 publications

References 16 publications

Personal Fabrication

Personal Fabrication

State of the Art on Stylized Fabrication

SensorKnit: Architecting Textile Sensors with Machine Knitting

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