Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89055
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Title: Challenges in knitted E-textiles
Authors: Chen, A 
Tan, J 
Tao, X 
Henry, P
Bai, Z 
Issue Date: 2019
Source: In Wong W. (Ed.), Artificial Intelligence on Fashion and Textiles. AITA 2019. Advances in Intelligent Systems and Computing, v. 849. p. 129-135. Cham : Springer, 2019.
Abstract: This paper considers the progress made in E-textiles within knitted textiles and discusses what “Project Jacquard” and the debut of the woven Levi’s Commuter X Jacquard by Google jacket helps reveal about the relationship between E-textiles and textiles manufacturing. The paper considers research conducted within the fields of Art, Design and Technology, along with materials with interesting and novel properties that have been integrated into knitted textiles by practitioners and researchers. Such materials can embellish or enhance knitted fabric, from creating additional visual interest to practical functions. However, due to the physical properties of these types of materials, not all materials can be knitted into the fabric with ease; the optimal machine settings and techniques must be determined. Adapting to the physical characteristics of these innovative materials is a logical design requirement of the prototype development process but when we look to adopt the same principles as “Project Jacquard”; manufacturing knitted E-textiles to scale, the challenges of the material/machinery relationship become more of an issue. This raises the question as to whether it is better to develop the material for better textiles integration, or to optimize the production process to suit the material.
Keywords: E-textiles
Photonic textiles
Polymeric optical fibers
Knitted fabric
Electronics
Conductive yarn
Publisher: Springer
ISBN: 978-3-319-99694-3 (print)
978-3-319-99695-0 (online)
DOI: 10.1007/978-3-319-99695-0_16
Description: Artificial Intelligence on Fashion and Textiles (AIFT) Conference 2018, Hong Kong, July 3-6, 2018
Rights: © Springer Nature Switzerland AG 2019
This is a pre-copyedited version of a contribution published in Artificial Intelligence on Fashion and Textiles, Advances in intelligent Systems and Computing 849, W. K. Wong (ed.) published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-99695-0_16
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