Knitting 4D garments with elasticity controlled for body motion

Liu, Zishun, Han, Xingjian, Zhang, Yuchen, Chen, Xiangjia, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680, Doubrovski, Eugeni L., Whiting, Emily and Wang, Charlie C. L. 2021. Knitting 4D garments with elasticity controlled for body motion. ACM Transactions on Graphics 40 (4) , 62. 10.1145/3450626.3459868

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Abstract

In this paper, we present a new computational pipeline for designing and fabricating 4D garments as knitwear that considers comfort during body movement. This is achieved by careful control of elasticity distribution to reduce uncomfortable pressure and unwanted sliding caused by body motion. We exploit the ability to knit patterns in different elastic levels by single-jersey jacquard (SJJ) with two yarns. We design the distribution of elasticity for a garment by physics-based computation, the optimized elasticity on the garment is then converted into instructions for a digital knitting machine by two algorithms proposed in this paper. Specifically, a graph-based algorithm is proposed to generate knittable stitch meshes that can accurately capture the 3D shape of a garment, and a tiling algorithm is employed to assign SJJ patterns on the stitch mesh to realize the designed distribution of elasticity. The effectiveness of our approach is verified on simulation results and on specimens physically fabricated by knitting machines.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Association for Computing Machinery (ACM)
ISSN:	0730-0301
Funders:	The Royal Society
Date of First Compliant Deposit:	25 May 2021
Date of Acceptance:	22 April 2021
Last Modified:	06 Nov 2023 17:44
URI:	https://orca.cardiff.ac.uk/id/eprint/141561

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