TY - JOUR
T1 - Bypass ultrasonic flow sensor for respiratory monitoring
T2 - flow-division-based structural adaptation and optimization
AU - Shi, Jiayi
AU - Hu, Hui
AU - Ren, Shuai
AU - Wang, Tao
AU - Ma, Bingbing
N1 - Publisher Copyright:
© 2026 The Author(s)
PY - 2026/11/15
Y1 - 2026/11/15
N2 - Accurate airflow measurement remains challenging in respiratory monitoring because the required operating range is wide and the aerodynamic conditions are complex. This study proposes a bypass ultrasonic airflow sensor and investigates the effects of the throttling structure and the bypass inlet diameter on flow-division characteristics. Computational fluid dynamics (CFD) simulations and bench experiments were conducted for orifice-plate and vane-type restrictors with bypass inlet diameters of 2–6 mm. Based on the numerical and experimental results, three optimized configurations were selected for representative respiratory-monitoring scenarios, and piecewise-polynomial calibration models were established. After calibration, the three selected configurations achieved accuracies of ± 1.25%, ±1.86%, ±2.17% F.S., with the best repeatability of ± 0.13% F.S. and a response time below 20 ms. Robustness assessments demonstrate the sensor's resistance to moisture interference and clarify the changes in split ratio and system applicability caused by inlet contamination. This study provides a practical framework for the structural design, selection, calibration, and evaluation of clinical-scenario adaptability of bypass ultrasonic airflow sensors for respiratory monitoring.
AB - Accurate airflow measurement remains challenging in respiratory monitoring because the required operating range is wide and the aerodynamic conditions are complex. This study proposes a bypass ultrasonic airflow sensor and investigates the effects of the throttling structure and the bypass inlet diameter on flow-division characteristics. Computational fluid dynamics (CFD) simulations and bench experiments were conducted for orifice-plate and vane-type restrictors with bypass inlet diameters of 2–6 mm. Based on the numerical and experimental results, three optimized configurations were selected for representative respiratory-monitoring scenarios, and piecewise-polynomial calibration models were established. After calibration, the three selected configurations achieved accuracies of ± 1.25%, ±1.86%, ±2.17% F.S., with the best repeatability of ± 0.13% F.S. and a response time below 20 ms. Robustness assessments demonstrate the sensor's resistance to moisture interference and clarify the changes in split ratio and system applicability caused by inlet contamination. This study provides a practical framework for the structural design, selection, calibration, and evaluation of clinical-scenario adaptability of bypass ultrasonic airflow sensors for respiratory monitoring.
KW - Bypass-type
KW - Computational fluid dynamics (CFD)
KW - Flow division characteristics
KW - Respiratory monitoring
KW - Ultrasonic airflow sensor
UR - https://www.scopus.com/pages/publications/105046845944
U2 - 10.1016/j.measurement.2026.122789
DO - 10.1016/j.measurement.2026.122789
M3 - Article
AN - SCOPUS:105046845944
SN - 0263-2241
VL - 290
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
M1 - 122789
ER -