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Numerical and experimental analysis of flow distortion induced by ultrasonic transducers in gas flowmeters
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  • Published: 03 April 2026

Numerical and experimental analysis of flow distortion induced by ultrasonic transducers in gas flowmeters

  • Wenlin Chen1,2,3,
  • Cunxin Yao4,
  • Duoyong Wang4,
  • Jun Mu1,
  • Chao Xu3 &
  • …
  • Defu Xu2 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Engineering
  • Mathematics and computing
  • Physics

Abstract

This study investigates the flow field distribution near the transducer and quantifies the distortion of the velocity profile along ultrasonic paths. It elucidates the physical mechanisms through which flow separation—induced by the mainstream flow around the transducer—affects ultrasonic flowmeter measurements. Experimental analyses examine the influence of localized flow field distortion under various pressures and flow rates, leading to the development of an error correction model consistent with empirical data. Numerical simulations are performed for three transducer installation modes: fully projecting, fully recessed, and tangent, revealing the distinct physical mechanisms associated with each configuration. Measurement errors are consistently negative due to the effects of backflow and lateral flow. Error ranges are − 1.86% to -1.15% for fully projecting, -4.09% to -2.26% for tangent, and − 10.57% to -9.66% for fully recessed installations, indicating that the fully recessed mode introduces the most significant flow disturbance. Flow velocity correction models are proposed for each installation type. After modification, errors are largely confined within ± 1.0% for both fully projecting and fully recessed transducers. The effect of local flow distortion on tangent-type ultrasonic flowmeters is further examined through experiments under varying pressures and flow velocities. By applying a secondary correction model based on Reynolds number, measurement accuracy can achieve the ± 0.5% standard.

Data availability

The data supporting the findings of this study are available upon request from the corresponding author.

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Funding

The work was supported by the Xinjiang Talent Development Fund (Grant No.: XJRC-2025-GX-PY-GCS-002), as well as the Natural Science Foundation of Xinjiang Uygur Autonomous Region (Grant No.: 2025D01A81) and the Science and Technology Program of Xinjiang Institute of Measurement and Testing Technology (Grant No.: XJL2024KY006).

Author information

Authors and Affiliations

  1. China Merchants Xinjiang institute of Measurement and Testing Technology co., Ltd, Urumqi, 830011, China

    Wenlin Chen & Jun Mu

  2. Xinjiang Institute of Measurement & Testing Technology, Urumqi, 830011, China

    Wenlin Chen & Defu Xu

  3. Tianjin University, Tianjin, 300072, China

    Wenlin Chen & Chao Xu

  4. Xinjiang Gas Group Co., Ltd, Urumqi, 830011, China

    Cunxin Yao & Duoyong Wang

Authors
  1. Wenlin Chen
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  2. Cunxin Yao
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  3. Duoyong Wang
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  4. Jun Mu
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  5. Chao Xu
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  6. Defu Xu
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Contributions

Wenlin Chen: Investigation, Supervision, Methodology, Writing - original draft & editing. Cunxin Yao: Writing & editing. Duoyong Wang: Conceptualization. Jun Mu: Methodology, Writing - review & editing. Chao Xu and Defu Xu: Data curation.

Corresponding author

Correspondence to Wenlin Chen.

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The authors declare no competing interests.

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Cite this article

Chen, W., Yao, C., Wang, D. et al. Numerical and experimental analysis of flow distortion induced by ultrasonic transducers in gas flowmeters. Sci Rep (2026). https://doi.org/10.1038/s41598-026-46908-w

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  • Received: 26 January 2026

  • Accepted: 27 March 2026

  • Published: 03 April 2026

  • DOI: https://doi.org/10.1038/s41598-026-46908-w

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Keywords

  • ultrasonic flowmeter
  • transducer installation effect
  • flow separation
  • local flow field distortion
  • error correction model.
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