Abstract
The powerful functional medical imaging technique of Positron Emission Tomography (PET) continues to be developed and adapted as a practical means of studying engineering processes at the University of Birmingham Positron Imaging Centre.
To date a considerable research effort has been made into the study of flow and mixing in solid and liquid systems and the development of Positron Emission Particle Tracking (PEPT) has made it possible to study multi-phase flow within industrial processes. However, little work has been reported on producing and imaging gases; this paper presents an initial investigation into the use of radioactive gas imaging for process systems.
Positron Emission Tomography (PET) was used to design an experimental procedure which can observe the adsorption of 11CO2 onto a packed bed of zeolite 13X, a mineral which can provide specific separation of CO2 from other gases. A trial run was performed to determine the feasibility of imaging gases under steady state conditions and a data analysis protocol has been developed to allow the study of dynamic gaseous processes.
Original language | English |
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Title of host publication | 7th World Congress in Industrial Process Tomography |
Publisher | International Society for Industrial Process Tomography |
Pages | 897-906 |
Number of pages | 10 |
ISBN (Electronic) | 9780853163237 |
Publication status | Published - 1 Jan 2014 |
Event | 7th World Congress in Industrial Process Tomography, WCIPT7 - Krakow, Poland Duration: 2 Sept 2013 → 5 Sept 2013 https://www.isipt.org/world-congress/7.html |
Publication series
Name | 7th World Congress in Industrial Process Tomography |
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Conference
Conference | 7th World Congress in Industrial Process Tomography, WCIPT7 |
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Country/Territory | Poland |
City | Krakow |
Period | 2/09/13 → 5/09/13 |
Internet address |
Keywords
- Adsorption
- CO2
- Gas imaging
- PET
- Positron Emission Tomography
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Computational Mechanics