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相关概念视频

Design Example: Frog Muscle Response01:14

Design Example: Frog Muscle Response

321
A student is tasked to work on an intriguing experiment involving an RL (Resistor-Inductor) circuit to study the muscle response of a frog's leg to electrical stimulation. The RL circuit plays a crucial role in this experiment, providing the means to control and measure the electrical impulses that trigger muscle contraction.
When the switch connecting the RL circuit is closed, a brief muscle contraction is observed. This is because, at a steady state, the inductor acts like a short...
321

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相关实验视频

Updated: Sep 15, 2025

Cardiac Muscle-cell Based Actuator and Self-stabilizing Biorobot - PART 1
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一个前进的工程,肌肉驱动的软机器人游泳者.

William Cartwright Drennan1,2, Onur Aydin1,2,3, Bashar Emon1,2

  • 1Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Science advances
|July 16, 2025
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概括
此摘要是机器生成的。

研究人员开发了一种新的肌肉驱动生物混合泳者. 这种创新的设计实现了更高的速度,为Reynolds数量的中间水上机器人打开了可能性.

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Last Updated: Sep 15, 2025

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科学领域:

  • 生物混合机器人机器人技术
  • 生物机械工程 生物机械工程
  • 软机器人软机器人 软机器人

背景情况:

  • 生物混合机器人利用生物元件实现先进的功能.
  • 了解小规模的运动是生物灵感设计的关键.
  • 以前的生物混合泳者在速度和效率方面面临限制.

研究的目的:

  • 设计和制造一种以肌肉为动力的鞭状生物混合泳者.
  • 研究非线性兼容机制与生物肌肉执行器的集成.
  • 通过优化设计和生物成分接近来提高游泳速度和效率.

主要方法:

  • 使用非线性力学制造符合要求的机制.
  • 肌肉环和运动神经元的整合用于执行.
  • 对硬度对肌肉张力和收缩能力的影响的分析.
  • 流场成像用于验证游泳机制并量化速度.

主要成果:

  • 肌肉张力在特定的固度范围内保持稳定 (每微米约为1微纽顿).
  • 靠近运动神经元的肌肉收缩能力提高了四倍.
  • 达到每分钟0.58个身体长度 (86.8微米/秒) 的最高游泳速度,比以前的设计快两倍.
  • 通过流场成像验证了一种惯性驱动的推进机制.

结论:

  • 开发的生物混合泳者实现了其类前所未有的速度.
  • 非线性兼容机制和优化的生物整合是提高性能的关键.
  • 这项工作为新一代中间雷诺德数生物杂交游泳者铺平了道路.