Identification of two-phase flow regime using ultrasonic phased array. (April 2020)

• Record Type: Journal Article
• Authors: Fang, Lide; Zeng, Qiaoqiao; Wang, Fan; Faraj, Yousef; Zhao, Yuyang; Lang, Yuexin; Wei, Zihui
• Is Part Of: Flow measurement and instrumentation. Volume 72(2020)
• Publication Date: 2020-04
• Subjects: Ultrasonic phased array -- Image processing -- Flow regime identification; Fluid dynamic measurements -- Periodicals; Flow meters -- Periodicals; Fluides, Dynamique des -- Mesure -- Périodiques; Débitmètres -- Périodiques; 681.2805
• DOI: 10.1016/j.flowmeasinst.2020.101726
• Languages: English
• ISSNs: 0955-5986

Abstract

Abstract: Flow regime is one of the key characteristics of gas-liquid two-phase pipe-flows and its identification is essential for several industrial applications. In this paper, the ultrasonic phased array technology is used to identify flow regimes of two-phase (air-water) vertical flow. The ultrasonic phased array can perform multi-point, omnidirectional detection to obtain high-resolution data suitable for image processing. The scanned images, which have distinctive features, are subjected to a series of image-treatment techniques, such as principle component analysis, to extract information necessary for flow regime identification. The K-nearest neighbors (KNN) classification algorithm is then used to identify flow regimes with high accuracy. Highlights: Ultrasonic phased array technology is used to identify the flow patterns of two-phase flow in a vertical pipe. Data processing is based on image processing, which the K nearest neighbor identification method is selected. The flow patterns accuracy reaches 99.35%.