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An Efficient Optimization Design of Liquid Lens for Acoustic Pattern Control.

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    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |November 24, 2020
    PubMed
    Summary

    An optimized design method for acoustic liquid lenses (ALLs) using particle swarm optimization (PSO) was developed. This method enables precise control over acoustic patterns for improved ultrasonic imaging applications.

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    Area of Science:

    • Acoustic optics
    • Materials science
    • Optimization algorithms

    Background:

    • Acoustic liquid lenses (ALLs) offer tunable acoustic properties.
    • Controlling acoustic patterns requires efficient design methods.
    • Existing methods may lack flexibility and precision.

    Purpose of the Study:

    • To develop an efficient and flexible optimization design method for ALLs.
    • To precisely control acoustic pattern parameters like focal distance, transverse resolution, and longitudinal resolution.
    • To validate the optimized ALL performance through simulation and experimental studies.

    Main Methods:

    • Utilized particle swarm optimization (PSO) algorithm for ALL design.
    • Established finite element models and orthogonal design with COMSOL Multiphysics.
    • Constructed neural network models to link ALL parameters (ethanol concentration, dimethicone volume fraction, total volume) with acoustic pattern performance.
    • Defined optimization criteria based on focal distance (FD), transverse resolution (TR), and longitudinal resolution (LR).

    Main Results:

    • Achieved optimized ALL parameters: ethanol concentration (EC) ~0.838, volume fraction of dimethicone (VFD) ~0.165, and total volume (TV) ~164.4.
    • Simulated and experimental results for acoustic pattern performance (FD, TR, LR) matched desired values.
    • Demonstrated effective ultrasonic imaging of tungsten wires and porcine eyeball using the optimized ALL with a 6 MHz transducer.

    Conclusions:

    • The developed PSO-based optimization method provides effective and flexible control of ALLs.
    • The optimized ALL parameters enable precise acoustic pattern manipulation for advanced applications.
    • The method is validated for its effectiveness and feasibility in practical ultrasonic imaging scenarios.