利用声镊对具有尺寸和材料选择性的单个微粒进行混合、捕获和弹射

Baptiste Neff, Akash Roy, Kianoush Sadeghian Esfahani, Eun S. Kim
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引用次数: 0

摘要

本文介绍了基于声镊的单个微颗粒的混合、捕获和弹射。有限元模型(FEM)模拟与分析模型一起用于研究基于尺寸和材料特性的颗粒选择性。经过优化的声镊具有单个捕获区,颗粒在此被声辐射力捕获(颗粒大小超过瑞利近似值时计算得出)。实验表明,该镊子可将微颗粒从镊子表面提起,根据颗粒大小和材料声学特性选择性地捕获单个颗粒,然后将其向上弹出收集。所有这些都是在几乎不产生热量的情况下实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixing, Trapping, and Ejection of Single Microparticle with Size and Material Selectivity Using Acoustic Tweezers
This paper presents the mixing, trapping, and ejection of a single microparticle based on an acoustic tweezers. Finite Element Model (FEM) simulation, along with analytical modeling, is used to study the selectivity of particles based on size and material properties. The acoustic tweezers is optimized to have a single trapping zone, where particles are trapped due to acoustic radiation force (which is calculated for particle sizes exceeding the Rayleigh approximation). The tweezers is experimentally shown to lift microparticles from the tweezers surface, selectively trap a single particle based on size and material acoustic properties, and then eject it upwards for collection. All these are obtained with negligible heat generation.
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