An Unconfined Monocular Stereo-PIV Measurement Method for Gas-Liquid Pipe Flow

Stereo-PIV encounters intricate challenges in flow measurement, especially accurate target localization and synchronized control of dual cameras. To overcome these obstacles, a comprehensive study delves into gas-liquid two-phase flow utilizing a monocular Stereo-PIV system. To reduce the need for high-precision target localization, a method is proposed that integrates particle features for corner extraction and spatial consistency for precise matching by pyramid up-down sampling. The approach effectively mitigates scale variance-induced mismatches and facilitates accurate spatial plane reconstruction. Validation is conducted utilizing particle simulation to assess the accuracy of feature extraction and matching and their impact on spatial plane reconstruction. Furthermore, optical distortion calibration results derived from gas-liquid two-phase flow are compared with experimental data to investigate the accuracy of real plane reconstruction. The accuracy of three-dimensional velocities is evaluated across planes with various errors. Finally, three-dimensional velocity profiles are characterized within slug flow structures, thereby offering insights into velocity variation characteristics.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-24
DOI
https://doi.org/10.1109/jsen.2025.3562149
Primary Topic
Flow Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

An Unconfined Monocular Stereo-PIV Measurement Method for Gas-Liquid Pipe Flow

Ting Xue, Haixia Wang
IEEE Sensors Journal
Flow Measurement and Analysis
article

An Unconfined Monocular Stereo-PIV Measurement Method for Gas-Liquid Pipe Flow

Ting Xue, Haixia Wang
article en

Abstract

Stereo-PIV encounters intricate challenges in flow measurement, especially accurate target localization and synchronized control of dual cameras. To overcome these obstacles, a comprehensive study delves into gas-liquid two-phase flow utilizing a monocular Stereo-PIV system. To reduce the need for high-precision target localization, a method is proposed that integrates particle features for corner extraction and spatial consistency for precise matching by pyramid up-down sampling. The approach effectively mitigates scale variance-induced mismatches and facilitates accurate spatial plane reconstruction. Validation is conducted utilizing particle simulation to assess the accuracy of feature extraction and matching and their impact on spatial plane reconstruction. Furthermore, optical distortion calibration results derived from gas-liquid two-phase flow are compared with experimental data to investigate the accuracy of real plane reconstruction. The accuracy of three-dimensional velocities is evaluated across planes with various errors. Finally, three-dimensional velocity profiles are characterized within slug flow structures, thereby offering insights into velocity variation characteristics.

IEEE Sensors JournalVol. 25(11)
Tianjin University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 91%
Flow Measurement and Analysis
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