Improved particle tracking velocimetry based on level set segmentation for measuring the velocity field of granular flow

doi:10.1088/1674-1056/ad989a

中国物理B ›› 2025, Vol. 34 ›› Issue (2): 24201-024201.doi: 10.1088/1674-1056/ad989a

Improved particle tracking velocimetry based on level set segmentation for measuring the velocity field of granular flow

Jing-Yi Gao(高靖宜)^1,2, Quan Chen(陈泉)¹, Ran Li(李然)¹, Ge Sun(孙歌)^1,2, Tong-Tong Mu(牟彤彤)^1,2, and Hui Yang(杨晖)^2,†

1 School of Optical-Electrical and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2 School of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China

收稿日期:2024-07-11 修回日期:2024-10-28 接受日期:2024-11-29 出版日期:2025-02-15 发布日期:2025-01-15
通讯作者: Hui Yang E-mail:yangh_23@sumhs.edu.cn

Improved particle tracking velocimetry based on level set segmentation for measuring the velocity field of granular flow

Jing-Yi Gao(高靖宜)^1,2, Quan Chen(陈泉)¹, Ran Li(李然)¹, Ge Sun(孙歌)^1,2, Tong-Tong Mu(牟彤彤)^1,2, and Hui Yang(杨晖)^2,†

1 School of Optical-Electrical and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2 School of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China

Received:2024-07-11 Revised:2024-10-28 Accepted:2024-11-29 Online:2025-02-15 Published:2025-01-15
Contact: Hui Yang E-mail:yangh_23@sumhs.edu.cn

摘要/Abstract

摘要： Using traditional particle tracking velocimetry based on optical flow for measuring areas with large velocity gradient changes may cause oversmoothing, resulting in significant measurement errors. To address this problem, the traditional particle tracking velocimetry method based on an optical flow was improved. The level set segmentation algorithm was used to obtain the boundary contour of the region with large velocity gradient changes, and the non-uniform flow field was divided into regions according to the boundary contour to obtain sub-regions with uniform velocity distribution. The particle tracking velocimetry method based on optical flow was used to measure the granular flow velocity in each sub-region, thus avoiding the problem of granular flow distribution. The simulation results show that the measurement accuracy of this method is approximately 10% higher than that of traditional methods. The method was applied to a velocity measurement experiment on dense granular flow in silos, and the velocity distribution of the granular flow was obtained, verifying the practicality of the method in granular flow fields.

关键词: granular flow, particle tracking velocimetry, optical flow method, speed, level set segmentation

Abstract: Using traditional particle tracking velocimetry based on optical flow for measuring areas with large velocity gradient changes may cause oversmoothing, resulting in significant measurement errors. To address this problem, the traditional particle tracking velocimetry method based on an optical flow was improved. The level set segmentation algorithm was used to obtain the boundary contour of the region with large velocity gradient changes, and the non-uniform flow field was divided into regions according to the boundary contour to obtain sub-regions with uniform velocity distribution. The particle tracking velocimetry method based on optical flow was used to measure the granular flow velocity in each sub-region, thus avoiding the problem of granular flow distribution. The simulation results show that the measurement accuracy of this method is approximately 10% higher than that of traditional methods. The method was applied to a velocity measurement experiment on dense granular flow in silos, and the velocity distribution of the granular flow was obtained, verifying the practicality of the method in granular flow fields.

Key words: granular flow, particle tracking velocimetry, optical flow method, speed, level set segmentation

中图分类号: (Imaging and optical processing)

42.30.-d

47.11.-j (Computational methods in fluid dynamics) 47.57.Gc (Granular flow)

Jing-Yi Gao(高靖宜), Quan Chen(陈泉), Ran Li(李然), Ge Sun(孙歌), Tong-Tong Mu(牟彤彤), and Hui Yang(杨晖). Improved particle tracking velocimetry based on level set segmentation for measuring the velocity field of granular flow[J]. 中国物理B, 2025, 34(2): 24201-024201.

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Improved particle tracking velocimetry based on level set segmentation for measuring the velocity field of granular flow

Improved particle tracking velocimetry based on level set segmentation for measuring the velocity field of granular flow

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