Smart textiles using fluid-driven artificial muscle fibers.
Smart textiles using fluid-driven artificial muscle fibers.
复制标题
使用流体驱动的人造肌肉纤维的智能纺织品。
DOI：
10.1038/s41598-022-15369-2
复制
发表时间：
2022-06-30
影响因子：
4.6
通讯作者：
Thanh Nho Do
中科院分区：
文献类型：
--
作者：
Phuoc Thien Phan;Mai Thanh Thai;Trung Thien Hoang;Davies, James;Chi Cong Nguyen;Hoang-Phuong Phan;Lovell, Nigel H.;Thanh Nho Do
纺织品与人造肌肉的结合创造智能纺织品正在引起科学界和工业界的极大关注。智能纺织品提供许多益处，包括自适应舒适性和对物体的高度顺应性，同时为所需的运动和力提供主动致动。本文介绍了一种新型的可编程智能纺织品，它是由不同的针织、编织和粘贴流体驱动的人工肌肉纤维的方法制成的。建立了描述针织和机织织物拉伸力关系的数学模型，并通过实验验证了模型的有效性。这种新型智能纺织品具有高度灵活性、舒适性和机械可编程性，能够实现多模态运动和变形能力，适用于更广泛的应用。通过实验验证创建了不同的智能纺织品原型，包括各种形状变化实例，如伸长（高达65%），面积扩张（108%），径向扩张（25%）和弯曲运动。被动的传统织物重新配置成生物启发的形状变形结构的主动结构的概念也进行了探讨。提出的智能纺织品预计将有助于智能可穿戴设备，触觉系统，生物启发的软机器人和可穿戴电子产品的发展。
The marriage of textiles with artificial muscles to create smart textiles is attracting great attention from the scientific community and industry. Smart textiles offer many benefits including adaptive comfort and high conformity to objects while providing active actuation for desired motion and force. This paper introduces a new class of programmable smart textiles created from different methods of knitting, weaving, and sticking fluid-driven artificial muscle fibers. Mathematical models are developed to describe the elongation-force relationship of the knitting and weaving textile sheets, followed by experiments to validate the model effectiveness. The new smart textiles are highly flexible, conformable, and mechanically programmable, enabling multimodal motions and shape-shifting abilities for use in broader applications. Different prototypes of the smart textiles are created with experimental validations including various shape-changing instances such as elongation (up to 65%), area expansion (108%), radial expansion (25%), and bending motion. The concept of reconfiguring passive conventional fabrics into active structures for bio-inspired shape-morphing structures is also explored. The proposed smart textiles are expected to contribute to the progression of smart wearable devices, haptic systems, bio-inspired soft robotics, and wearable electronics.
登录
查看更多内容
影响因子：
56.9
作者：
Gerbode, Sharon J.;Puzey, Joshua R.;Mahadevan, L.
通讯作者：
Mahadevan, L.
影响因子：
13.6
作者：
Mao, Guoyong;Drack, Michael;Kaltenbrunner, Martin
通讯作者：
Kaltenbrunner, Martin
影响因子：
25
作者：
Booth, Joran W.;Shah, Dylan;Kramer-Bottiglio, Rebecca
通讯作者：
Kramer-Bottiglio, Rebecca
DOI：
10.3390/s21227638
发表时间：
2021-11-17
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Hoang TT;Sy L;Bussu M;Thai MT;Low H;Phan PT;Davies J;Nguyen CC;Lovell NH;Do TN
通讯作者：
Do TN
影响因子：
6.8
作者：
Granberry, Rachael;Eschen, Kevin;Abel, Julianna
通讯作者：
Abel, Julianna