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张洋

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所在单位:能源与动力工程学院
学历:博士研究生毕业
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学位:博士
职称:副教授
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【学术成果】一篇通讯作者文章在国际学术期刊 Powder Technology 上发表
发布时间:2025-11-23    点击次数:

发布时间:2025-11-23

文章标题:【学术成果】一篇通讯作者文章在国际学术期刊 Powder Technology 上发表

内容:

我们开发了DF-DC混合算法,实现了对心脏瓣膜及流化床等复杂流场的高精度拉格朗日重构。

 

Cited as: Jiao, M., Zhang, Y., Yan, M., Zhang, Q., & Hu, Y. (2025). A PIV/PTV hybrid algorithm for high particle concentration fields. Powder Technology, 121966.

https://doi.org/10.1016/j.powtec.2025.121966

 

Abstract: Particle Tracking Velocimetry (PTV) can visualize flow fields by reconstructing particle trajectories, but its performance degrades in environments with high particle concentration. In contrast, Particle Image Velocimetry (PIV) is effective in analyzing flows with dense particle population using continuous grayscale image data, yet it has difficulty in capturing the fine-scale local motions of individual particles. To tackle the technical challenge of accurate Lagrangian reconstruction in flow fields with high particle concentration, this study presents a new hybrid algorithm, which integrates the PIV algorithm with a clusterbased PTV algorithm enhanced by Voronoi Diagram (VD) technology. Different from traditional hybrid methods, it innovatively realizes a Dual Fusion (DF) of PIV and PTV principles and a Dual Correction (DC) mechanism for optimizing particle matching results, thus named DF-DC. Through comparative analysis with existing algorithms using synthetic grayscale images, DF-DC exhibits stronger robustness: When the particle number reaches 30,000, DF-DC maintains an accuracy of over 80 %, exceeding SRPIV and MQ-PTV by 17 % and 47 %, respectively. Furthermore, under realistic measurements with a ghost particle ratio of 5 %, DF-DC sustains an accuracy above 90 %. Then the practical value of DF-DC is verified by successful applications in reconstructing particle motion in a fluidized bed and in the flow downstream of a heart valve, which affirms its realworld applicability.

 

FIGURE. Flow field reconstruction downstream of an artificial heart valve. Flow fields reconstructed by (a) PIV, (b) DF-DC and (c) SRPIV. Vortex maps of the reconstructed flow fields by (d) PIV, (e) DF-DC and (f) SRPIV.