Automatic data processing for phantom flow measurement using spectral domain optical coherence tomography

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2025-01-20 DOI:10.1016/j.flowmeasinst.2025.102825

Jianshuai Wang , Song Zhou , Junbo Xiao , Yimin Wang , Liang Wang

引用次数: 0

Abstract

We present automatic flow volume measurement using spectral domain optical coherence tomography (OCT). Flow phantom consists of a glass duct with the test suspension flowing through it. Sampled OCT images are binary processed to determine the angle between the probing beam and the duct to get real flow velocity. Data processing for volumetric flow measurement is fully automatic. It takes about 4 s to get flow volume result through processing one dataset containing five image pairs. Measured flow results coincide with the settled values. Effects of the distance between two scanning planes on the measured flow are also discussed to ensure measurement accuracy.

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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.