Monte Carlo real coded genetic algorithm (MC‐RGA) for radioactive particle tracking (RPT) experimentation

Radioactive particle tracking (RPT) technique is a non‐invasive velocimetry technique, extensively applied to study hydrodynamics of dense multiphase systems. In this technique, the position of a radioactive tracer particle, designed to mimic the phase of interest, is followed as a Lagrangian marker...

Full description

Saved in:
Bibliographic Details
Published in:AIChE journal Vol. 63; no. 7; pp. 2850 - 2863
Main Authors: Yadav, Ashutosh, Ramteke, Manojkumar, Pant, Harish Jagat, Roy, Shantanu
Format: Journal Article
Language:English
Published: New York American Institute of Chemical Engineers 01.07.2017
Subjects:
Algorithms
bubble column
Computational fluid dynamics
Computer applications
Convergence
Experimentation
Fluid flow
Genetic algorithms
Hydrodynamics
Monte Carlo algorithm
Monte Carlo simulation
Multiphase
Optimization
Parameter estimation
Particle tracking
radioactive particle tracking (RPT)
Radioactive tracers
real coded genetic algorithm (RGA)
Reconstruction
Velocimetry
Velocity
Velocity measurement
Vessels
ISSN:0001-1541, 1547-5905
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Radioactive particle tracking (RPT) technique is a non‐invasive velocimetry technique, extensively applied to study hydrodynamics of dense multiphase systems. In this technique, the position of a radioactive tracer particle, designed to mimic the phase of interest, is followed as a Lagrangian marker of point velocity. Computational limitations encountered during tracer particle position reconstruction (which is an inherently slow process) have thus far restricted the use of this versatile technique only to small‐scale process vessels. Here, we present a noteworthy improvement over the classical Monte Carlo algorithm for tracer particle position reconstruction, whereby we enhance the convergence and computational speed of the algorithm using Real Coded Genetic Algorithm optimization. This modification results in drastic reduction in computational time required for detector parameter estimation, and altogether eliminates the need for the “distance‐count map,” which was earlier inherent to RPT experimentation. © 2017 American Institute of Chemical Engineers AIChE J, 63: 2850–2863, 2017
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.15596