Microfluidic technology has great advantages in the precise manipulation of micro and nano particles, and the collection method of micro and nano particles based on ultrasonic standing waves has attracted much attention for its high efficiency and simplicity of structure. This article proposes a two-stage particle separation channel using ultrasound. In the microfluidic channel, two different sound pressure regions are used to achieve the separation of particles with positive acoustic contrast factors. Through numerical simulation, the performance of three common piezoelectric substrate materials was compared qualitatively and quantitatively, and it was found that the output sound pressure intensity of 128°YX-LiNbO3 was high and the output was stable. At the same time, the influence of the number of electrode pairs of the interdigital transducer and the electrode voltage on the output sound wave is studied. Finally, 15 pairs of electrode pairs are selected, and the electrode voltages of the two sound pressure regions are 2.0 V and 3.0 V, respectively. After selecting the corresponding parameters, the separation process was numerically simulated, and the separation of three kinds of particles was successfully achieved. This work has laid a certain theoretical foundation for rapid disease diagnosis and real-time monitoring of the environment in practical applications.

中文翻译：

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基于声表面驻波的两级粒子分离通道

微流控技术在微纳米粒子的精准操控方面具有很大优势，而基于超声波驻波的微纳米粒子收集方法因其高效、结构简单而备受关注。本文提出了一种使用超声波的两级粒子分离通道。在微流体通道中，使用两个不同的声压区域来实现具有正声学对比因子的粒子的分离。通过数值模拟，对三种常见压电基板材料的性能进行了定性和定量比较，发现128°YX-LiNbO3的输出声压强度高，输出稳定。同时，研究了叉指换能器电极对数和电极电压对输出声波的影响。最后选取15对电极对，两个声压区的电极电压分别为2.0 V和3.0 V。选择相应参数后，对分离过程进行数值模拟，成功实现了三种颗粒的分离。该工作为实际应用中的疾病快速诊断和环境实时监测奠定了一定的理论基础。选择相应参数后，对分离过程进行数值模拟，成功实现了三种颗粒的分离。该工作为实际应用中的疾病快速诊断和环境实时监测奠定了一定的理论基础。选择相应参数后，对分离过程进行数值模拟，成功实现了三种颗粒的分离。该工作为实际应用中的疾病快速诊断和环境实时监测奠定了一定的理论基础。