Computer-controlled 3D freeform surface weaving

IF 9.1 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Robotics and Computer-integrated Manufacturing Pub Date : 2024-07-08 DOI:10.1016/j.rcim.2024.102819

Xiangjia Chen , Lip M. Lai , Zishun Liu , Chengkai Dai , Isaac C.W. Leung , Charlie C.L. Wang , Yeung Yam

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Abstract

In this paper, we present a new computer-controlled weaving technology that enables the fabrication of woven structures in the shape of given 3D surfaces by using threads in non-traditional materials with high bending-stiffness, allowing for multiple applications with the resultant woven fabrics. A new weaving machine and a new manufacturing process are developed to realize the function of 3D surface weaving by the principle of short-row shaping. A computational solution is investigated to convert input 3D freeform surfaces into the corresponding weaving operations (indicated as W-code) to guide the operation of this system. A variety of examples using cotton threads, conductive threads and optical fibers are fabricated by our prototype system to demonstrate its functionality.

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计算机控制的 3D 自由曲面编织

本文介绍了一种新的计算机控制编织技术，该技术通过使用具有高弯曲刚度的非传统材料线，能够按照给定的三维表面形状制造编织结构，从而使编织出的织物具有多种用途。我们开发了一种新型编织机和一种新的制造工艺，利用短排成型原理实现三维表面编织功能。研究了一种计算解决方案，将输入的三维自由曲面转换为相应的编织操作（表示为 W 代码），以指导该系统的操作。我们的原型系统利用棉线、导电线和光纤编织了各种实例，以演示其功能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Robotics and Computer-integrated Manufacturing 工程技术-工程：制造

CiteScore

24.10

自引率

13.50%

发文量

160

审稿时长

50 days

期刊介绍： The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.