In order to effectively and flexibly control acoustic pattern, an efficient optimization design method of acoustic liquid lens (ALL) is developed by the frame of particle swarm optimization (PSO) algorithm. The ALL is composed of ethanol and dimethicone, and its parameters include ethanol concentration (EC), volume fraction of dimethicone (VFD), and total volume (TV). Based on the established finite element model and orthogonal design method, the data of acoustic pattern and ALL can be obtained by using COMSOL Multiphysics. Based on the simulation data, the neural network models are constructed to characterize the relationship between the parameters of ALL and the performance of acoustic pattern. The optimization design criteria of ALL are constructed based on the performance parameters of acoustic pattern, including focal distance (FD), transverse resolution (TR), and longitudinal resolution (LR). Based on the optimization criteria, the modified PSO algorithm is utilized to optimize the design parameters of ALL in the developed method. According to the desired FD, TR, and LR of acoustic pattern (20, 1, and 17 mm), the optimized EC, VFD, and TV of ALL are about 0.838, 0.165, and 164.4 $\mu \text{L}$ . The performance parameters of acoustic pattern verified by simulation and experiments agree with the desired ones. In addition, using 6 MHz ultrasonic transducer with the optimized ALL, the ultrasonic imaging of tungsten wires and porcine eyeball further demonstrates the effectiveness and feasibility of the developed method.

中文翻译：

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液体透镜声图案控制的高效优化设计

为了有效，灵活地控制声场图，利用粒子群算法（PSO）算法开发了一种高效的声波透镜优化设计方法。ALL由乙醇和二甲基硅油组成，其参数包括乙醇浓度（EC），二甲基硅油的体积分数（VFD）和总体积（TV）。基于已建立的有限元模型和正交设计方法，可以使用COMSOL Multiphysics获得声学模式和ALL的数据。基于仿真数据，构建神经网络模型以表征ALL参数与声学模式性能之间的关系。根据声学模式的性能参数（包括焦距（FD），横向分辨率（TR）和纵向分辨率（LR）。基于优化准则，改进后的PSO算法被用于优化所开发方法中ALL的设计参数。根据所需的声学图案的FD，TR和LR（20、1、17 mm），ALL的优化EC，VFD和TV分别约为0.838、0.165和164.4 $ \ mu \ text {L} $ 。通过仿真和实验验证的声学模式的性能参数与期望的吻合。此外，使用具有优化的ALL的6 MHz超声换能器，钨丝和猪眼球的超声成像进一步证明了该方法的有效性和可行性。