Multiphase flow parameter estimation based on laser scattering. (12th June 2015)

• Record Type: Journal Article
• Authors: Vendruscolo, Tiago P; Fischer, Robert; Martelli, Cicero; Rodrigues, Rômulo L P; Morales, Rigoberto E M; da Silva, Marco J
• Is Part Of: Measurement science & technology. Volume 26:Number 7(2015:Jul.)
• Publication Date: 2015-06-12
• Subjects: laser light scattering -- multiphase flow -- flow monitoring -- flow rate; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/0957-0233/26/7/075205
• Languages: English
• ISSNs: 0957-0233

Abstract

Abstract: The flow of multiple constituents inside a pipe or vessel, known as multiphase flow, is commonly found in many industry branches. The measurement of the individual flow rates in such flow is still a challenge, which usually requires a combination of several sensor types. However, in many applications, especially in industrial process control, it is not necessary to know the absolute flow rate of the respective phases, but rather to continuously monitor flow conditions in order to quickly detect deviations from the desired parameters. Here we show how a simple and low-cost sensor design can achieve this, by using machine-learning techniques to distinguishing the characteristic patterns of oblique laser light scattered at the phase interfaces. The sensor is capable of estimating individual phase fluxes (as well as their changes) in multiphase flows and may be applied to safety applications due to its quick response time.