School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
Engineering Research Center of Metallurgical Automation and Measurement Technology, Wuhan University of Science and Technology, Wuhan 430081, China.
Sensors (Basel). 2022 Aug 16;22(16):6128. doi: 10.3390/s22166128.
A flow pattern identification method combining ultrasonic transmission attenuation with an ultrasonic reflection echo is proposed for oil-water two-phase flow in horizontal pipelines. Based on the finite element method, two-dimensional geometric simulation models of typical oil-water two-phase flow patterns are established, using multiphysics coupling simulation technology. An ultrasonic transducer test system of a horizontal pipeline with an inner 50 mm diameter was built, and flow pattern simulation experiments of oil-water two-phase flow were carried out in the tested field area. The simulation results show that the ultrasonic attenuation coefficient is extracted to identify the W/O&O/W dispersion flow using the ultrasonic transmission attenuation method, and the identification accuracy is 100%. By comparison, using the ultrasonic reflection echo method, the echo duration is extracted as an input feature vector of support vector machine (SVM), and the identification accuracy of the stratified flow and dispersed flow is 95.45%. It was proven that the method of the ultrasonic transmission attenuation principle combined with the ultrasonic reflection echo principle can identify oil-water two-phase flow patterns accurately and effectively, which provides a theoretical basis for the flow pattern identification of liquid-liquid multiphase flow.
提出了一种结合超声波传输衰减和超声波反射回波的流型识别方法，用于水平管道中的油水两相流。基于有限元法，使用多物理场耦合模拟技术，建立了典型油水两相流型的二维几何模拟模型。搭建了内径为 50mm 的水平管道超声换能器测试系统，在测试现场进行了油水两相流的流型模拟实验。模拟结果表明，利用超声波传输衰减法提取超声波衰减系数，可对 W/O&O/W 弥散流进行识别，识别准确率为 100%。相比之下，利用超声波反射回波法，提取回波持续时间作为支持向量机（SVM）的输入特征向量，可对分层流和弥散流进行识别，识别准确率为 95.45%。证明了基于超声波传输衰减原理与超声波反射回波原理相结合的方法能够准确有效地识别油水两相流型，为液-液多相流的流型识别提供了理论依据。
