Multiphase flow parameter estimation based on laser scattering

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 application...

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Published inMeasurement science & technology Vol. 26; no. 7; pp. 75205 - 8
Main Authors Vendruscolo, Tiago P, Fischer, Robert, Martelli, Cicero, Rodrigues, Rômulo L P, Morales, Rigoberto E M, da Silva, Marco J
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.07.2015
Subjects
Deviation
Estimating
flow monitoring
Flow rate
laser light scattering
Lasers
Monitors
Multiphase flow
Phases
Sensors
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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.
AbstractList 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.
Author Morales, Rigoberto E M
Rodrigues, Rômulo L P
Martelli, Cicero
Vendruscolo, Tiago P
da Silva, Marco J
Fischer, Robert
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Snippet 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...
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StartPage 75205
SubjectTerms Deviation
Estimating
flow monitoring
Flow rate
laser light scattering
Lasers
Monitors
Multiphase flow
Phases
Sensors
Title Multiphase flow parameter estimation based on laser scattering
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