4.7 Article

A Computational Design Tool for Gradual Transition of Knit Structures in Seamless Circular Knitting

Journal

COMPUTER-AIDED DESIGN
Volume 146, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.cad.2022.103214

Keywords

Textiles; Computational design; Machine knitting; Circular knitting; Seamless knitting

Ask authors/readers for more resources

This paper introduces the research on seamless digital knitting technology and presents an innovative computational approach for design and programming. By using this technology, garments with multiple knitting structures can be created, achieving gradual transitions and organic patterns that are difficult to achieve with traditional design tools.
Computerized knitting has recently become a topic of interest for academic research. Most of the research focuses on flatbed knitting machines. However, most fabrics are usually knitted using various circular knitting technologies. This paper focuses on seamless digital knitting, a special kind of circular knitting used to create seamless garments on a knitted cylinder. This technology allows for the creation of garments with multiple knitting structures, which affects the properties and behavior of the material throughout the fabric. Existing design tools for programming seamless knitting are based on discrete definitions of zones in the fabric, which limits the design space of the knitting machines. A novel computational approach for seamless circular knitting design and programming is presented here. We created a design tool that is intended to be used by fashion and textile designers. The tool enables the creation of gradual transition between knit structures and produces organic patterns, which are extremely difficult to achieve using traditional design tools.(c) 2022 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available