论文标题
一个有效的程序,以预测超声传感器阵列上方轴对称不规则颗粒的声音
An efficient procedure to predict the acoustophoresis of axisymmetric irregular particles above ultrasound transducer array
论文作者
论文摘要
波散射引起的声辐射力和扭矩能够在没有接触的情况下翻译和旋转物质。但是,现有的研究主要集中于操纵简单的对称几何形状,忽略了几何特征的重要性。对于非球形几何形状,物体的形状强烈影响其散射特性,因此辐射力和扭矩以及声学过程。在这里,我们开发了一个半分析框架,以计算基于保形转换方法的用户燃烧的换能器阵列激发的轴对称颗粒上的辐射力和扭矩,从而捕获了几何特征的重要性。派生框架是在计算坐标系(CC)下建立的,而粒子假定为静态。对于动态过程,粒子的旋转被转换为传感器阵列的相反旋转,通过采用旋转转换来调整CCS中的入射驾驶场来实现。后来,CC中获得的辐射力和扭矩应转换回观测坐标系(OCS)进行力和扭矩分析。通过比较不同相分布中的完整三维数值溶液来验证施加在具有不同方向的颗粒上的辐射力和扭矩。发现所提出的方法提出了卓越的计算精度,高几何适应性以及对各种几何特征的良好鲁棒性,而计算效率比完整的数值方法高100倍以上。此外,发现具有不同几何特征的颗粒的动态轨迹完全不同,这表明几何特征可以是调节声学过程的潜在自由度。
Acoustic radiation force and torque arising from wave scattering are able to translate and rotate matter without contact. However, the existing research mainly focused on manipulating simple symmetrical geometries, neglecting the significance of geometric features. For the non-spherical geometries, the shape of the object strongly affects its scattering properties, and thus the radiation force and torque as well as the acoustophoretic process. Here, we develop a semi-analytical framework to calculate the radiation force and torque exerted on the axisymmetric particles excited by a user-customized transducer array based on a conformal transformation approach, capturing the significance of the geometric features. The derivation framework is established under the computation coordinate system (CCS), whereas the particle is assumed to be static. For the dynamic processes, the rotation of particle is converted as the opposite rotation of transducer array, achieved by employing a rotation transformation to tune the incident driving field in the CCS. Later, the obtained radiation force and torque in the CCS should be transformed back to the observation coordinate system (OCS) for force and torque analysis. The radiation force and torque exerted on particles with different orientations are validated by comparing the full three-dimensional numerical solution in different phase distributions. It is found that the proposed method presents superior computational accuracy, high geometric adaptivity, and good robustness to various geometric features, while the computational efficiency is more than 100 times higher than that of the full numerical method. Furthermore, it is found that the dynamic trajectories of particles with different geometric features are completely different, indicating that the geometric features can be a potential degree of freedom to tune acoustophoretic process.