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基于可控微裂纹区域的弯曲传感器在可穿戴电子设备和机器人技术中的应用

Bending Sensor Based on Controlled Microcracking Regions for Application toward Wearable Electronics and Robotics.

作者信息

Lee Do Hoon, Yang Jun Chang, Sim Joo Yong, Kang Heemin, Kim Hyung-Ryong, Park Steve

机构信息

Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.

Department of Mechanical Systems Engineering, Sookmyung Women's University, Seoul 04310, Republic of Korea.

出版信息

ACS Appl Mater Interfaces. 2022 Jul 13;14(27):31312-31320. doi: 10.1021/acsami.2c07795. Epub 2022 Jun 28.

Abstract

A soft bending sensor based on the inverse pyramid structure is demonstrated, revealing that it can effectively suppress microcrack formation in designated regions, thus allowing the cracks to open gradually with bending in a controlled manner. Such a feature enabled the bending sensor to simultaneously have a wide dynamic range of bending strain (0.025-5.4%), high gauge factor (∼74), and high linearity ( ∼ 0.99). Furthermore, the bending sensor can capture repeated instantaneous changes in strain and various types of vibrations, owing to its fast response time. Moreover, the bending direction can be differentiated with a single layer of the sensor, and using an array of sensors integrated on a glove, object recognition was demonstrated via machine learning. Finally, a self-monitoring proprioceptive ionic electroactive polymer (IEAP) actuator capable of operating in liquid was demonstrated. Such features of our bending sensor will enable a simple and effective way of detecting sophisticated motion, thus potentially advancing wearable healthcare monitoring electronics and enabling proprioceptive soft robotics.

摘要

展示了一种基于倒金字塔结构的柔性弯曲传感器,结果表明它能够有效抑制指定区域内的微裂纹形成,从而使裂纹能够随着弯曲以可控方式逐渐张开。这一特性使弯曲传感器同时具有宽动态范围的弯曲应变(0.025 - 5.4%)、高应变计因子(约74)和高线性度(约0.99)。此外,由于其快速响应时间,该弯曲传感器能够捕捉应变的重复瞬时变化和各种类型的振动。而且,仅用单层传感器就能区分弯曲方向,通过集成在手套上的传感器阵列,借助机器学习实现了物体识别。最后,展示了一种能够在液体中运行的自监测本体感受离子电活性聚合物(IEAP)致动器。我们弯曲传感器的这些特性将实现一种简单有效的复杂运动检测方式,从而有可能推动可穿戴医疗监测电子设备的发展,并实现本体感受软机器人技术。

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