利用电容传感器对两相流流型发展的时变分析：快速傅立叶变换和总功率谱探测

IF 2.3 3区工程技术 Q2 ENGINEERING, MECHANICAL

Flow Measurement and Instrumentation Pub Date : 2025-01-18 DOI:10.1016/j.flowmeasinst.2025.102818

Fayez M. Al-Alweet , Zeyad Almutairi , Othman Y. Alothman , Zhengbiao Peng , Basheer A. Alshammari , Ahmad Almakhlafi

{"title":"利用电容传感器对两相流流型发展的时变分析：快速傅立叶变换和总功率谱探测","authors":"Fayez M. Al-Alweet , Zeyad Almutairi , Othman Y. Alothman , Zhengbiao Peng , Basheer A. Alshammari , 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":"{\"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 , Zeyad Almutairi , Othman Y. Alothman , Zhengbiao Peng , Basheer A. Alshammari , 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}","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

摘要

在复杂的多相流系统中，准确表征管道内的流型及其发展对优化流体动力学和提高系统整体性能至关重要。本研究采用了5个电容传感器，沿着指定的测试段进行了全面的调查，并辅以高速成像技术，以捕捉不断变化的流动模式的实时变化。该分析采用快速傅立叶变换（FFT）来探索通过成像观察到的流动模式的视觉演变与传感器信号变化之间的相关性。该方法包括信号频谱内总功率的计算以及功率谱密度（PSD）图的综合分析，从而对流量动力学对传感器响应的影响产生宝贵的见解。关键发现揭示了所有传感器的输出与测试段内两相流模式演变所导致的变化之间的重要关系。此外，随着这些模式的进展或过渡到不同的配置，来自每个传感器的信号中明显的变化。值得注意的是，这些变化包括尖峰的特性、形状和密度的变化，以及PSD图形表示中尖峰幅度和频率范围分量的显著变化，以及总功率水平的变化。这种对视觉和传感器数据的严格分析大大增强了我们对流动动力学和传感器性能之间复杂相互作用的理解，为推进管道系统内的监测和自动化策略奠定了坚实的基础。最终，这项工作旨在促进在涉及两相流的实际应用中提高效率、可靠性和安全性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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

通过发布文献求助，成功后即可免费获取论文全文。去求助

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.