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实现介电弹性体人工肌肉的潜力。

Realizing the potential of dielectric elastomer artificial muscles.

机构信息

Harvard Paulson School of Engineering and Applied Sciences, Cambridge, MA 02138;

Wyss Institute for Biologically Inspired Engineering, Cambridge, MA 02138.

出版信息

Proc Natl Acad Sci U S A. 2019 Feb 12;116(7):2476-2481. doi: 10.1073/pnas.1815053116. Epub 2019 Jan 24.

Abstract

Soft robotics represents a new set of technologies aimed at operating in natural environments and near the human body. To interact with their environment, soft robots require artificial muscles to actuate movement. These artificial muscles need to be as strong, fast, and robust as their natural counterparts. Dielectric elastomer actuators (DEAs) are promising soft transducers, but typically exhibit low output forces and low energy densities when used without rigid supports. Here, we report a soft composite DEA made of strain-stiffening elastomers and carbon nanotube electrodes, which demonstrates a peak energy density of 19.8 J/kg. The result is close to the upper limit for natural muscle (0.4-40 J/kg), making these DEAs the highest-performance electrically driven soft artificial muscles demonstrated to date. To obtain high forces and displacements, we used low-density, ultrathin carbon nanotube electrodes which can sustain applied electric fields upward of 100 V/μm without suffering from dielectric breakdown. Potential applications include prosthetics, surgical robots, and wearable devices, as well as soft robots capable of locomotion and manipulation in natural or human-centric environments.

摘要

软机器人代表了一组旨在在自然环境和人体附近运行的新技术。为了与环境交互,软机器人需要人工肌肉来驱动运动。这些人工肌肉需要像天然肌肉一样强大、快速和稳健。介电弹性体致动器(DEAs)是一种很有前途的软换能器,但在没有刚性支撑的情况下使用时,其输出力通常较低,能量密度也较低。在这里,我们报告了一种由应变硬化弹性体和碳纳米管电极组成的软复合材料 DEA,其峰值能量密度为 19.8 J/kg。这一结果接近天然肌肉的上限(0.4-40 J/kg),使这些 DEAs 成为迄今为止展示的最高性能电动软人工肌肉。为了获得高的力和位移,我们使用了低密度、超薄的碳纳米管电极,它们可以承受超过 100 V/μm 的外加电场而不会发生介电击穿。潜在的应用包括假肢、手术机器人和可穿戴设备,以及能够在自然或以人为中心的环境中运动和操纵的软机器人。

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Realizing the potential of dielectric elastomer artificial muscles.实现介电弹性体人工肌肉的潜力。
Proc Natl Acad Sci U S A. 2019 Feb 12;116(7):2476-2481. doi: 10.1073/pnas.1815053116. Epub 2019 Jan 24.
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