Recent developments in industry have heightened the need for accurate monitoring of the flow rate. Ultrasonic flowmeters have been widely used in various industrial applications due to their advantages of non-invasive, no pressure drop, and relatively high accuracy. Accurate ToF estimation is the central issue for the development of ultrasonic flowmeter. The accuracy and robustness of the ToF directly affects the results of ultrasonic flow meter flow measurements. Therefore, in this paper, we develop a novel ToF algorithm based on central frequency matching. The performance of the proposed method is validated through numerical simulations. Compared to the conventional ultrasonic ToF algorithm, the standard deviation is 5.21% and 32.14% of the other two algorithms respectively, while the error is 15.41% and 36.43% of the other two algorithms respectively.
TAN Chao, JIANG Yizhou, BAO Yong, DONG Feng.
An Ultrasonic Flowmeter ToF Algorithm Based on Central Frequency Matching[J]. Journal of Engineering Thermophysics, 2024, 45(2): 460-464