Arrangement optimization of a novel three dimensional multiphase flow imaging device employing modified harmony search algorithm
Arrangement optimization of a novel three dimensional multiphase flow imaging device employing modified harmony search algorithm
复制标题
采用改进和谐搜索算法的新型三维多相流成像装置的布置优化
DOI：
10.1016/j.engappai.2021.104185
复制
发表时间：
2019-01
影响因子：
8
通讯作者：
Huang Jinwei
中科院分区：
文献类型：
--
作者：
Wang Haihang;Xu He;Gao Xiao-Zhi;Zhao Zitong;Huang Jinwei
气液两相流是一种典型的流动。其气泡特性的测量对于研究其流动机理和指导实际流体机械工程具有重要意义。本文设计并优化了一种新型的三维多相流成像装置，用于测量透明物体在三维观察区域中心有一个不透明物体的情况。根据几何关系和设计要求，建立了其数学模型，定义了约束条件。在原有和声搜索（HS）算法的基础上，结合改进的和声搜索算法（MHS-MC），提高了多模态问题的全局寻优性能和约束优化问题的收敛性能，并将其应用于单摄像机多反射镜装置的布局优化。以水压阀内空化泡群为例，应用三维多相流成像方法对阀内空化泡群进行三维重建。对Pareto数据的统计分析表明了MHS-MC算法的良好性能。空化实验结果验证了MHS-MC算法的有效性。该方法可以很高的精度重建空化泡群。
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.
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DOI：
10.1016/j.amc.2015.06.040
发表时间：
2015-09
期刊：
Appl. Math. Comput.
影响因子：
--
作者：
I. Amaya;Jorge Cruz;R. Correa
通讯作者：
I. Amaya;Jorge Cruz;R. Correa
极端环境下变形测量三维数字图像相关系统的优化
影响因子：
1.9
作者：
Pan, Bing;Wu, Dafang;Yu, Liping
通讯作者：
Yu, Liping
影响因子：
1
作者：
X. Gao;Xiaolei Wang;S. Ovaska
通讯作者：
X. Gao;Xiaolei Wang;S. Ovaska
DOI：
10.1016/j.ins.2014.02.084
发表时间：
2014-07
期刊：
Inf. Sci.
影响因子：
--
作者：
A. Turky;S. Abdullah
通讯作者：
A. Turky;S. Abdullah
和谐搜索与可变邻域搜索的混合解决限制性单机提前/迟到问题
影响因子：
8.1
作者：
Liu, Le;Zhou, Hong
通讯作者：
Zhou, Hong