Time-dependent analysis of flow pattern developments in two-phase flow using capacitance sensors: Fast fourier transform and total power spectrum exploration

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Fayez M. Al-Alweet , Zeyad Almutairi , Othman Y. Alothman , Zhengbiao Peng , Basheer A. Alshammari , Ahmad Almakhlafi
{"title":"Time-dependent analysis of flow pattern developments in two-phase flow using capacitance sensors: Fast fourier transform and total power spectrum exploration","authors":"Fayez M. Al-Alweet ,&nbsp;Zeyad Almutairi ,&nbsp;Othman Y. Alothman ,&nbsp;Zhengbiao Peng ,&nbsp;Basheer A. Alshammari ,&nbsp;Ahmad Almakhlafi","doi":"10.1016/j.flowmeasinst.2025.102818","DOIUrl":null,"url":null,"abstract":"<div><div>In the intricate field of multiphase flow systems, accurately characterizing flow patterns and their development within pipelines is crucial for optimizing fluid dynamics and enhancing overall system performance. This study undertakes a comprehensive investigation employing five strategically positioned capacitance sensors along a designated test section, complemented by high-speed imaging techniques to capture real-time changes in evolving flow patterns. The analysis employs the Fast Fourier Transform (FFT) to explore the correlations between the visual evolution of flow patterns, as observed through imaging, and the variations in sensor signals. This approach encompasses the calculation of the total power within the signal spectrum alongside the comprehensive analysis of the Power Spectral Density (PSD) graph, yielding invaluable insights into the influence of flow dynamics on sensor responses. Key findings reveal significant relationships between the outputs of all sensors and the variations resulting from the evolution of two-phase flow patterns within the test section. Moreover, as these patterns progress or transition to different configurations, distinct changes are evident in the signals from each sensor. Notably, these alterations encompass variations in properties, shapes, and densities of spikes, alongside significant changes in the magnitudes of spike amplitudes and frequency range components in the graphical representation of PSD, along with a change in total power level. This rigorous analysis of visual and sensor data significantly enhances our understanding of the complex interplay between flow dynamics and sensor performance, establishing a strong foundation for advancing monitoring and automation strategies within pipeline systems. Ultimately, this work aims to foster improved efficiency, reliability, and safety in practical applications involving two-phase flows.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"102 ","pages":"Article 102818"},"PeriodicalIF":2.3000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Flow Measurement and Instrumentation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S095559862500010X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

In the intricate field of multiphase flow systems, accurately characterizing flow patterns and their development within pipelines is crucial for optimizing fluid dynamics and enhancing overall system performance. This study undertakes a comprehensive investigation employing five strategically positioned capacitance sensors along a designated test section, complemented by high-speed imaging techniques to capture real-time changes in evolving flow patterns. The analysis employs the Fast Fourier Transform (FFT) to explore the correlations between the visual evolution of flow patterns, as observed through imaging, and the variations in sensor signals. This approach encompasses the calculation of the total power within the signal spectrum alongside the comprehensive analysis of the Power Spectral Density (PSD) graph, yielding invaluable insights into the influence of flow dynamics on sensor responses. Key findings reveal significant relationships between the outputs of all sensors and the variations resulting from the evolution of two-phase flow patterns within the test section. Moreover, as these patterns progress or transition to different configurations, distinct changes are evident in the signals from each sensor. Notably, these alterations encompass variations in properties, shapes, and densities of spikes, alongside significant changes in the magnitudes of spike amplitudes and frequency range components in the graphical representation of PSD, along with a change in total power level. This rigorous analysis of visual and sensor data significantly enhances our understanding of the complex interplay between flow dynamics and sensor performance, establishing a strong foundation for advancing monitoring and automation strategies within pipeline systems. Ultimately, this work aims to foster improved efficiency, reliability, and safety in practical applications involving two-phase flows.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Flow Measurement and Instrumentation
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信