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Three-dimensional particle reconstruction method for trichromatic mask PIV based on convolutional neural networks
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Xiaoyi LIANG, Junfei DING*, Yong ZHANG, Yiqun LIU, Haiping TIAN
Journal of Experiments in Fluid Mechanics | 2026, 40(3) : 113 - 120
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Journal of Experiments in Fluid Mechanics | 2026, 40(3): 113-120
• Measuring Technique •
Three-dimensional particle reconstruction method for trichromatic mask PIV based on convolutional neural networks
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Xiaoyi LIANG, Junfei DING*, Yong ZHANG, Yiqun LIU, Haiping TIAN
Affiliations
  • College of Aeronautics and Astronautics, Taiyuan University of Technology, Jinzhong 030600, China
Published: 2026-06-25 doi: 10.11729/syltlx20240045
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Trichromatic mask particle image velocimetry employs optical elements to alter imaging paths, integrating color and perspective information for single-camera three-dimensional flow velocity measurements. Due to the small imaging viewing angle between three perspectives, conventional algebraic reconstruction techniques yield elongated particle distributions and low directional resolution along the imaging depth direction. To mitigate elongation effects and enhance three-dimensional particle reconstruction quality, convolutional neural networks (CNNs) are applied. Utilizing the AIPR (Artificial Intelligence Particle Reconstruction) architecture, an algorithm tailored for small viewing angle in trichromatic mask PIV is developed. Evaluation involves synthetic image data and artificial flow fields varying in different viewing angles and particle concentration. Results demonstrate that compared to traditional algebraic methods, the proposed method improves reconstruction quality by 30% at the particle concentration of 0.05 ppp. Additionally, it achieves a reconstruction speed of up to 2.8 times faster than traditional methods, enabling the rapid three-dimensional reconstruction of the particle field and enhancing axial reconstruction quality.

trichromatic mask PIV  /  convolutional neural networks  /  3D particle reconstruction
梁晓艺, 丁俊飞, 张勇, 刘逸群, 田海平. 基于卷积神经网络的三色掩膜PIV三维粒子重构方法. 实验流体力学, 2026 , 40 (3) : 113 -120 . DOI: 10.11729/syltlx20240045
Xiaoyi LIANG, Junfei DING, Yong ZHANG, Yiqun LIU, Haiping TIAN. Three-dimensional particle reconstruction method for trichromatic mask PIV based on convolutional neural networks[J]. Journal of Experiments in Fluid Mechanics, 2026 , 40 (3) : 113 -120 . DOI: 10.11729/syltlx20240045
Year 2026 volume 40 Issue 3
344
159
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doi: 10.11729/syltlx20240045
  • Receive Date:2024-08-01
  • Online Date:2026-09-02
  • Published:2026-06-25
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  • Received:2024-08-01
  • Revised:2024-08-26
  • Accepted:2024-08-29
Affiliations
    College of Aeronautics and Astronautics, Taiyuan University of Technology, Jinzhong 030600, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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