Electrical Resistance Tomography (ERT) is a technique employed in the industrial environment that reconstructs images formed by the impedance distributions inside a vessel. The method relies on measures from a data acquisition system, responsible to inject a current inside the vessel and measures the voltage on the boundaries, and sequentially an inverse problem solution. This paper introduces a low-cost design of an acquisition system that can obtain 30 images/s with a signal-to-noise ratio of 57.47 dB and a maximum error of 3.79%. It utilizes a simple RMS-to-DC converter demodulation scheme to provide good accessibility to researchers aimed at investigating flow patterns of multiphase flow applications.

Ultrasonic flow meters (UFMs) by transit time are ubiquitous in industrial applications, mainly for their versatility and practicality. They are widely used in gas and liquid installations, such as the oil and gas industry or feedwater systems in nuclear power plants. Computational fluid dynamics (CFD) techniques can be used as a tool to potentially improve the ultrasonic flow measurements. CFD may contribute to predicting the velocity profile and the profile factor in disturbed flows, integrating fluid flow and acoustic ray, improving the calibration of UFMs, or assisting in design optimization. This communication presents the working principle of the UFM, discusses how CFD can be used as a tool to support improvements, and shows relevant trending fields that deserve further investigation to promote significance on this subject.