利用Chladni板和多模膜谐振器操纵微型机器人

Lillian N. Usadi, S. Firebaugh, H. Elbidweihy, S. Yee
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引用次数: 3

摘要

微/纳米机器人的出现有望通过利用其他受尺寸限制的机会来改变物理,化学和生物领域。最值得注意的是生物医学领域,操纵微/纳米颗粒的能力在生物物理学、药物输送、组织工程和显微外科等领域有许多应用。声学,即振动波穿过物质的物理学,提供了一种精确、准确、微创的技术来操纵微型机器人或微粒(微型机器人的替代品)。一个例子是通过在诸如克拉尼板之类的共振结构中使用引起的弯曲振动。在这项研究中,我们开发了一个平台,通过由克拉德尼图和共振微尺度膜产生的声力来精确地操纵二维微粒。该项目包括两个不同的阶段:(1)在空气中使用克拉尼板进行宏观操作;(2)在液体中使用微尺度膜进行微观操作。在第一阶段(空气中的宏观尺度),我们复制了以前的研究,以便更好地理解潜在的物理现象,并开发基于统计建模技术的控制算法。在第二阶段(液体微尺度),我们开发并测试了一种使用定制微加工结构的新装置。将宏观统计建模技术与微观自主控制系统相结合。结果表明,在宏观尺度上开发的控制方法可以在微观尺度上实现和使用,并且具有良好的精度和准确度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Manipulation of Microrobots using Chladni Plates and Multimode Membrane Resonators
The advent of micro/nanorobotics promises to transform the physical, chemical, and biological domains by harnessing opportunities otherwise limited by size. Most notable is the biomedical field in which the ability to manipulate micro/nanoparticles has numerous applications in biophysics, drug delivery, tissue engineering, and microsurgery. Acoustics, the physics of vibrational waves through matter, offers a precise, accurate, and minimally invasive technique to manipulate microrobots or microparticles (stand-ins for microrobots). One example is through the use of flexural vibrations induced in resonant structures such as Chladni plates. In this research, we developed a platform for precise two-dimensional microparticle manipulation via acoustic forces arising from Chladni figures and resonating microscale membranes. The project included two distinct phases: (1) macroscale manipulation with a Chladni plate in air and (2) microscale manipulation using microscale membranes in liquid. In the first phase (macroscale in air), we reproduced previous studies in order to gain a better understanding of the underlying physics and to develop control algorithms based on statistical modeling techniques. In the second phase (microscale in liquid), we developed and tested a new setup using custom microfabricated structures. The macroscale statistical modeling techniques were integrated with microscale autonomous control systems. It is shown that control methods developed on the macroscale can be implemented and used on the microscale with good precision and accuracy.
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