arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2403.07073eess.SYcs.ROcs.SY
收藏

VLEIBot:一种由仿生鳗鱼式推进器驱动的新型45-mg游泳微型机器人

VLEIBot: A New 45-mg Swimming Microrobot Driven by a Bioinspired Anguilliform Propulsor

Washington State University (WSU)(华盛顿州立大学);School of Mechanical and Materials Engineering(机械与材料工程学院)

Elijah K. Blankenship, Conor K. Trygstad, Francisco M. F. R. Gonçalves, Néstor O. Pérez-Arancibia

AI总结:

本文提出了一种由仿生鳗鱼式推进器和高做功密度微驱动器驱动的45-mg微型游泳机器人VLEIBot,并通过双推进器设计演化出二维全可控的VLEIBot^+,实现了高达16.1mm/s的游泳速度和低至4mm的路径跟踪误差。

摘要:

本文提出了VLEIBot^*(Very Little Eel-Inspired roBot),一种由仿生鳗鱼式推进器推进的45-mg/23-mm^3微型机器人游泳器。该推进器由单个6-mg高做功密度(HWD)微驱动器激励,并在游泳过程中由于流固耦合(FSI)产生的波传播现象而周期性波动。该微驱动器由作为板弹簧的碳纤维梁和形状记忆合金(SMA)线组成,后者在使用焦耳热周期性激励时会发生循环变形。当使用启发式优化的推进器驱动时,VLEIBot的游泳速度高达15.1mm * s^{-1}(0.33 Bl * s^{-1}})。为了提高机动性,我们将VLEIBot的设计演化为90-mg/47-mm^3的VLEIBot^+,它由两个推进器驱动并在二维(2D)空间内完全可控。当使用启发式优化的推进器驱动时,VLEIBot^+的游泳速度高达16.1mm * s^{-1}(0.35 Bl * s^{-1}),并且在跟踪路径参考时实现高达0.28 rad * s^{-1}的转向速率。测得的跟踪误差均方根(RMS)值低至4 mm。

英文摘要:

This paper presents the VLEIBot^* (Very Little Eel-Inspired roBot), a 45-mg/23-mm^3 microrobotic swimmer that is propelled by a bioinspired anguilliform propulsor. The propulsor is excited by a single 6-mg high-work-density (HWD) microactuator and undulates periodically due to wave propagation phenomena generated by fluid-structure interaction (FSI) during swimming. The microactuator is composed of a carbon-fiber beam, which functions as a leaf spring, and shape-memory alloy (SMA) wires, which deform cyclically when excited periodically using Joule heating. The VLEIBot can swim at speeds as high as 15.1mm * s^{-1} (0.33 Bl * s^{-1}}) when driven with a heuristically-optimized propulsor. To improve maneuverability, we evolved the VLEIBot design into the 90-mg/47-mm^3 VLEIBot^+, which is driven by two propulsors and fully controllable in the two-dimensional (2D) space. The VLEIBot^+ can swim at speeds as high as 16.1mm * s^{-1} (0.35 Bl * s^{-1}), when driven with heuristically-optimized propulsors, and achieves turning rates as high as 0.28 rad * s^{-1}, when tracking path references. The measured root-mean-square (RMS) values of the tracking errors are as low as 4 mm.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑