Cargando…

GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique

In the past two decades, the radioactive particle tracking (RPT) measurement technique has been proven to visualize flow fields of most multiphase flow systems of industrial interest. The accuracy of RPT, and hence the data obtained, depend largely on the calibration process, which stands here as a...

Descripción completa

Detalles Bibliográficos
Autores principales: Alghamdi, Ahmed A., Aljuwaya, Thaar M., Alomari, Abdullah S., Al-Dahhan, Muthanna H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839824/
https://www.ncbi.nlm.nih.gov/pubmed/35161967
http://dx.doi.org/10.3390/s22031223
_version_ 1784650466182823936
author Alghamdi, Ahmed A.
Aljuwaya, Thaar M.
Alomari, Abdullah S.
Al-Dahhan, Muthanna H.
author_facet Alghamdi, Ahmed A.
Aljuwaya, Thaar M.
Alomari, Abdullah S.
Al-Dahhan, Muthanna H.
author_sort Alghamdi, Ahmed A.
collection PubMed
description In the past two decades, the radioactive particle tracking (RPT) measurement technique has been proven to visualize flow fields of most multiphase flow systems of industrial interest. The accuracy of RPT, and hence the data obtained, depend largely on the calibration process, which stands here as a basis for two subsequent processes: tracking and reconstruction. However, limitations in the RPT calibration process can be found in different experimental constrains and in assumptions made in the classical Monte Carlo approach used to simulate number of counts received by the detectors. Therefore, in this work, we applied a GEANT4-based Monte Carlo code to simulate the RPT calibration process for an investigated multiphase flow system (i.e., gas–liquid bubble column). The GEANT4 code was performed to simulate the number of counts received by 28 scintillation detectors for 931 known tracer positions while capturing all the types of photon interaction and overcoming solids’ angle limitations in classical approaches. The results of the simulation were validated against experimental data obtained using an automated RPT calibration device. The results showed a good agreement between the simulated and experimental counts, where the maximum absolute average relative deviation detected was about 5%. The GEANT4 model typically predicted the number of counts received by all the detectors; however, it over-estimated the counts when the number of primary events applied in the model was not the optimal.
format Online
Article
Text
id pubmed-8839824
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-88398242022-02-13 GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique Alghamdi, Ahmed A. Aljuwaya, Thaar M. Alomari, Abdullah S. Al-Dahhan, Muthanna H. Sensors (Basel) Article In the past two decades, the radioactive particle tracking (RPT) measurement technique has been proven to visualize flow fields of most multiphase flow systems of industrial interest. The accuracy of RPT, and hence the data obtained, depend largely on the calibration process, which stands here as a basis for two subsequent processes: tracking and reconstruction. However, limitations in the RPT calibration process can be found in different experimental constrains and in assumptions made in the classical Monte Carlo approach used to simulate number of counts received by the detectors. Therefore, in this work, we applied a GEANT4-based Monte Carlo code to simulate the RPT calibration process for an investigated multiphase flow system (i.e., gas–liquid bubble column). The GEANT4 code was performed to simulate the number of counts received by 28 scintillation detectors for 931 known tracer positions while capturing all the types of photon interaction and overcoming solids’ angle limitations in classical approaches. The results of the simulation were validated against experimental data obtained using an automated RPT calibration device. The results showed a good agreement between the simulated and experimental counts, where the maximum absolute average relative deviation detected was about 5%. The GEANT4 model typically predicted the number of counts received by all the detectors; however, it over-estimated the counts when the number of primary events applied in the model was not the optimal. MDPI 2022-02-05 /pmc/articles/PMC8839824/ /pubmed/35161967 http://dx.doi.org/10.3390/s22031223 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alghamdi, Ahmed A.
Aljuwaya, Thaar M.
Alomari, Abdullah S.
Al-Dahhan, Muthanna H.
GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique
title GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique
title_full GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique
title_fullStr GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique
title_full_unstemmed GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique
title_short GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique
title_sort geant4 simulation for radioactive particle tracking (rpt) technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839824/
https://www.ncbi.nlm.nih.gov/pubmed/35161967
http://dx.doi.org/10.3390/s22031223
work_keys_str_mv AT alghamdiahmeda geant4simulationforradioactiveparticletrackingrpttechnique
AT aljuwayathaarm geant4simulationforradioactiveparticletrackingrpttechnique
AT alomariabdullahs geant4simulationforradioactiveparticletrackingrpttechnique
AT aldahhanmuthannah geant4simulationforradioactiveparticletrackingrpttechnique