WeavePrint: A Generative Method for Woven-like Additive Manufacturing Based on Parametric Weave Structures

要旨

This paper presents WeavePrint, a parametric and multi-material additive manufacturing method for woven-like structures. By fusing traditional weaving logic with computational generation, WeavePrint overcomes limitations in pattern programmability, mechanical tunability, and build size. A parametric generator creates plain, twill, satin, and image-based jacquard patterns, while supporting curved-surface mapping and continuous vertical roll-to-roll printing for scalable production. Systematic tensile and compression tests quantify how overlap length, filament width, and multi-material combinations influence inter-layer adhesion and global mechanics. We define four motion primitives: bending, twisting, curved extension-contraction, and hinged extension-contraction, implemented through straight, diagonal, and curved weaves to produce predictable deformations. Demonstrations in wearable supports, robotic components, and rehabilitation devices highlight its broad potential in human-computer interaction. By unifying parametric modeling with multi-material continuous fabrication, WeavePrint provides a scalable route to programmable, anisotropic, and dynamically responsive interactive fabrics.

受賞
Honorable Mention
著者
Jiacheng Cao
Zhejiang University, HangZhou, China
Zhaojia Yang
Software college, Hangzhou, Zhejiang, China
Manman Fan
Zhejiang University , Hangzhou, Zhejiang Sheng, China
Haipeng Wang
Zhejiang University, Hangzhou, China
Mingyue Chen
Fuzhou University, Fuzhou, China
Tianshu Dong
Zhejiang University, Hangzhou, China
Jiaji Li
MIT, Cambridge, Massachusetts, United States
Lingyun Sun
Zhejiang University, Hangzhou, China
Yijun Zhao
Zhejiang University, Hangzhou, China
Guanyun Wang
Zhejiang University, Hangzhou, China

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Fabrication, Fashion, & Modular Systems

P1 - Room 122
7 件の発表
2026-04-16 20:15:00
2026-04-16 21:45:00