Flow measurement of pipeline fluids based on wavenumber-frequency spectrum

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2025-03-24 DOI:10.1016/j.flowmeasinst.2025.102897

Rui Pei , Danping Jia , Zhensheng Zang , Bing Chang , Bo Liu , Yong Sun , Meng Dong

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引用次数: 0

Abstract

Flow is a crucial parameter in industrial production, but traditional flowmeters often face limitations due to the field measurement conditions. This paper explores the array signal processing technology used in passive sonar and details how to measure the flow rate in a pipeline through wavenumber-frequency (

k - ω

) spectrum analysis. Firstly, based on the “Taylor frozen” concept of turbulence, the feasibility of using convective velocity to measure the flow rate in a pipeline is studied, and the composition of the disturbance signal is modeled theoretically. Secondly, the signal amplitude and frequency characteristics of water and air are analyzed as the flow rate changes. The Minimum Variance Distortionless Response (MVDR) beamforming algorithm is utilized to address the “convective ridge,” and the slant stack (

τ - v

) algorithm helps identify the accurate velocity corresponding to the slope of ridge. Finally, Field experiments were performed using DN50 and DN80 pipelines equipped with piezoelectric sensors. The results showed that the relative errors of water flow and air flow were both less than ±1.0 %, which proved the effectiveness of wavenumber-frequency spectrum method for measuring flow. Therefore, it is of great engineering guiding significance to utilize passive sonar technique to measure pipeline flow.

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来源期刊

Flow Measurement and Instrumentation 工程技术-工程：机械

CiteScore

4.30

自引率

13.60%

发文量

123

审稿时长

6 months

期刊介绍： Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions. FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest: Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible. Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems. Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories. Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.