Gas–liquid two-phase flow is a typical flow. Its bubble characteristic measurement is of great importance on studying the flow mechanism and guiding the practical fluid mechanical engineering. In this paper, a novel three dimensional (3D) multiphase flow imaging device was designed and optimized to measure the transparent object that has an opaque object in the center of the 3D observed area. Its mathematical model was built and the constraints were defined based on the geometrical relationship and design requirements. Based on the original harmony search (HS) algorithm, a modified harmony search algorithm (MHS-MC) for improving both the performance on the global optima of the multi-modal problems and the convergence performance of the constrained optimization problems was integrated and applied to optimize the arrangement of the single-camera-multi-mirror device. As a case study, the 3D multiphase flow imaging method was applied in the 3D reconstruction of the cavitation bubble cluster inside a water hydraulic valve. The statistics of the Pareto data show the good performance of the MHS-MC algorithm. And the cavitation experimental results testify the effectiveness of the proposed MHS-MC algorithm. The cavitation bubble cluster can be reconstructed with quite high precision.

气液两相流是典型的流。它的气泡特性测量对研究流动机理和指导实际的流体力学工程具有重要意义。在本文中，设计并优化了一种新颖的三维（3D）多相流成像设备，以测量在3D观察区域的中心具有不透明物体的透明物体。建立了其数学模型，并根据几何关系和设计要求定义了约束条件。基于原始的和声搜索（HS）算法，改进了和谐搜索算法（MHS-MC），该算法既改善了多模态问题的全局最优性能，又改善了约束优化问题的收敛性能，并将其应用于优化单机多机位的布置镜设备。作为案例研究，将3D多相流成像方法应用于水压阀内部汽蚀气泡簇的3D重建中。帕累托数据的统计数据表明，MHS-MC算法具有良好的性能。空化实验结果证明了所提算法的有效性。空化气泡簇可以以很高的精度重建。将3D多相流成像方法应用于水压阀内部汽蚀气泡簇的3D重建中。帕累托数据的统计数据表明，MHS-MC算法具有良好的性能。空化实验结果证明了所提算法的有效性。空化气泡簇可以以很高的精度重建。将3D多相流成像方法应用于水压阀内部汽蚀气泡簇的3D重建中。帕累托数据的统计数据表明，MHS-MC算法具有良好的性能。空化实验结果证明了所提算法的有效性。空化气泡簇可以以很高的精度重建。