An approach to solving the influence of high solids holdup ring and background in fluidized bed on electromagnetic tomography

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2025-01-30 DOI:10.1016/j.flowmeasinst.2025.102836

Chao Wang , Jiacheng Liu , Xinyu Luan , Xiao Liang , Muting Wang , Jingyi Yan

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引用次数: 0

Abstract

The electromagnetic tomography (EMT) technology based on tunneling magneto resistance (TMR) can efficiently detect phase distributions in the gas-liquid-solid fluidized bed by the difference of permeability. The solid clusters and bubble clusters are distributed within the background formed by the mixture of three phases, while the solids gather near the pipe wall and form a high solids holdup ring. Since the boundary measurement data obtained by the TMR-EMT system are significantly influenced by the background and ring, it is difficult to reconstruct the cluster distribution directly with the raw data. In order to improve the reconstruction quality, a method to weaken the influence of the background and ring is proposed. Based on the equivalent magnetic circuit model, the ring permeability is estimated and the Ring model is established. Combining the virtual reference field (VRF) model and the Ring model, the virtual reference field with the high solids holdup ring (VRF-R) model is established. Using the VRF-R model to process the boundary measurement data, the quality of the cluster distribution reconstruction is improved greatly. Compared with VRF, the correlation coefficient of VRF-R increases from 0.52 to 0.77 (in simulation) and 0.50 to 0.73 (in experiment), respectively.

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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.