Selection of Optical Tomography Parameters for Gas Bubble Shape Analysis

Abstract

An optical tomograph in which a tested object is illuminated from five directions has been presented in the paper. The measurements of luminous intensity after changing into discrete signals (0 or 1) in the detectors equipped with 64 optical sensors were subjected to reconstruction by means of the matrix algorithm. Detailed description of the measuring sensor, as well as the principles of operation of the electronic system, has been given in the paper. Optical phenomena occurring at the phase boundary while transmitted through the sensor wall and phenomena inside the measuring space have also been taken into account. The method of the sensor calibration has been analysed and a way of technical solution of the problem under consideration has been discussed. The elaborated method has been tested using objects of the known shape and dimensions. It was found that reconstruction of the shapes of moving bubbles and determination of their main parameters is also possible with a reasonable accuracy.

A new bubbly flow detection and quantification procedure based on optical laser-beam scattering behavior

“…Also when dealing with the bubbly flow, which tiny and dispersed bubbles are smaller than the beam size, the reflection term can also be neglected. However, when dealing with slug or churn flows with large bubbles, the reflection term must be considered [28] Therefore, when modeling the bubbly flows behavior, the air bubbles extinction coefficient could be approximated by its total scattering coefficient, which is expressed as [29]:…”

Using an LSTM network to monitor industrial reactors using electrical capacitance and impedance tomography – a hybrid approach

“…Thanks to this knowledge, actions can be taken to ensure the correct course of the process [26]. Therefore, the purpose of monitoring is to obtain precise information, in realtime, on the emerging crystals or gas bubbles and thus ensure the reliability of both the implemented processes as well as production systems or entire industrial installations [35,36]. The registration of actual parameters carried out during process monitoring enables the calculation of deviations from optimal values.…”