Design an ultrasonic imaging system for characterization of two-phase flow in metal pipe

Abstract

Ultrasonic Imaging System is a significant system to produce the cross-sectional images from pipe to characterize the flow. In this study, a novel ultrasonic imaging system with a metal pipe conveyor is proposed. In presented system, non­invasive sensing technique is utilized for identifying two-phase flows through cross-sectional images of the metal pipe. 16 ultrasonic transceivers with 40 kHz resonance frequency based on the thickness of the metal pipe (4 mm) is selected and mounted on periphery of the metal pipe, experimentally. The details of designed circuitry of the system which is consisted of various parts such as signal generator, the signal conditioning and the signal acquisition strategy are also presented. Additionally, two different types of image reconstruction algorithms: Linear Back propagation (LBP) and Filter Back Propagation (FBP) are applied to reconstruct the cross-sectional images from the metal pipe. Finally, the experimental results of each algorithm are compared and the optimum algorithm is determined.