Suppr超能文献

用于无绳高能微引擎的形状记忆纳米复合纤维。

Shape memory nanocomposite fibers for untethered high-energy microengines.

机构信息

Université de Bordeaux, CNRS, Centre de Recherche Paul Pascal, UMR5031, 33600 Pessac, France.

Institute of Biomaterial Science and Berlin-Brandenburg Center for Regenerative Therapies, Helmholtz-Zentrum Geesthacht, 14513 Teltow, Germany.

出版信息

Science. 2019 Jul 12;365(6449):155-158. doi: 10.1126/science.aaw3722.

Abstract

Classic rotating engines are powerful and broadly used but are of complex design and difficult to miniaturize. It has long remained challenging to make large-stroke, high-speed, high-energy microengines that are simple and robust. We show that torsionally stiffened shape memory nanocomposite fibers can be transformed upon insertion of twist to store and provide fast and high-energy rotations. The twisted shape memory nanocomposite fibers combine high torque with large angles of rotation, delivering a gravimetric work capacity that is 60 times higher than that of natural skeletal muscles. The temperature that triggers fiber rotation can be tuned. This temperature memory effect provides an additional advantage over conventional engines by allowing for the tunability of the operation temperature and a stepwise release of stored energy.

摘要

经典的旋转引擎功能强大且用途广泛,但设计复杂,难以小型化。制造大冲程、高速、高能量的简单而坚固的微引擎一直具有挑战性。我们表明,扭转强化形状记忆纳米复合纤维在插入扭转时可以转变,以存储和提供快速和高能量的旋转。扭曲的形状记忆纳米复合纤维将高扭矩与大旋转角度相结合,提供的重量比功比天然骨骼肌高 60 倍。触发纤维旋转的温度可以进行调整。与传统发动机相比,这种温度记忆效应提供了额外的优势,允许操作温度的可调性和存储能量的逐步释放。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验