Optimization of detection geometry for industrial SPECT by Monte Carlo simulations
Creators
- 1. Department of Nuclear Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791 (Korea, Republic of)
- 2. Korea Atomic Energy Research Institute, 989-111 Daedeok-daero, Yuseong-gu, Daejeon 305-353 (Korea, Republic of)
Description
The Korea Atomic Energy Research Institute (KAERI) has developed an industrial SPECT to investigate the fluid flow and mixing patterns in columns. It has been found that the industrial SPECT is indeed a very powerful tool to study the hydrodynamics in multiphase reactors. One of the practical issues in the development of industrial SPECTs is to achieve a required imaging resolution of an industrial SPECT with a minimum number of component detectors, the number of which is frequently limited by both the size of the detectors and the total cost of the imaging system. In the present study, a set of different geometries of industrial SPECTs were evaluated by Monte Carlo simulation using MCNPX to determine the minimum number of detectors that will provide a spatial resolution that corresponds to 10% of the cylindrical column diameter. Our results show that 11 and 12 detectors will satisfy the 10% resolution requirement for the 40 cm and 60 cm diameter columns, respectively, for the industrial SPECT and radioisotopes considered in the present study. The conclusion of this result is valid only for the case considered in the present study, but we believe that the same procedure can be applied to other industrial SPECTs for this kind of optimization.
Availability note (English)
Available from http://dx.doi.org/10.1088/1748-0221/8/04/C04006Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Instrumentation
- Journal Volume
- 8
- Journal Issue
- 04
- Journal Page Range
- p. C04006
- ISSN
- 1748-0221
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44106304
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Descriptors DEI
- COMPUTERIZED SIMULATION; DETECTION; FLUID FLOW; GEOMETRY; HYDRODYNAMICS; KAERI; MONTE CARLO METHOD; OPTIMIZATION; RADIOISOTOPES; REPUBLIC OF KOREA; SPATIAL RESOLUTION
- Descriptors DEC
- ASIA; CALCULATION METHODS; DEVELOPING COUNTRIES; FLUID MECHANICS; ISOTOPES; KOREAN ORGANIZATIONS; MATHEMATICS; MECHANICS; NATIONAL ORGANIZATIONS; RESOLUTION; SIMULATION