Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Experimental evaluation of fuel rod pattern analysis in fuel assembly using Yonsei single-photon emission computed tomography (YSECT)

  • Choi, Hyung-joo (Department of Radiation Convergence Engineering, Yonsei University) ;
  • Cheon, Bo-Wi (Department of Radiation Convergence Engineering, Yonsei University) ;
  • Baek, Min Kyu (Department of Radiation Convergence Engineering, Yonsei University) ;
  • Chung, Heejun (The Korea Institute of Nuclear Nonproliferation and Control) ;
  • Chung, Yong Hyun (Department of Radiation Convergence Engineering, Yonsei University) ;
  • You, Sei Hwan (Department of Radiation Oncology, Yonsei University Wonju College of Medicine) ;
  • Min, Chul Hee (Department of Radiation Convergence Engineering, Yonsei University) ;
  • Choi, Hyun Joon (Department of Radiation Oncology, Yonsei University Wonju College of Medicine)
  • Received : 2021.09.24
  • Accepted : 2021.12.28
  • Published : 2022.06.25
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Abstract

The purpose of this study was to verify the possibility of fuel rod pattern analysis in a fresh fuel assembly using the Yonsei single-photon emission computed tomography (YSECT) system. The YSECT system consisted of three main parts: four trapezoidal-shaped bismuth germanate scintillator-based 64-channel detectors, a semiconductor-based multi-channel data acquisition system, and a rotary stage. In order to assess the performance of the prototype YSECT, tomographic images were obtained for three representative fuel rod patterns in the 6 × 6 array using two representative image-reconstruction algorithms. The fuel-rod patterns were then assessed using an in-house fuel rod pattern analysis algorithm. In the experimental results, the single-directional projection images for those three fuel-rod patterns well discriminated each fuel-rod location, showing a Gaussian-peak-shaped projection for a single 10 mm-diameter fuel rod with 12.1 mm full-width at half maximum. Finally, we successfully verified the possibility of the fuel rod pattern analysis for all three patterns of fresh fuel rods with the tomographic images obtained by the rotational YSECT system.

Keywords

Acknowledgement

This research was supported by the Nuclear Safety Research Program through the Korea Foundation Of Nuclear Safety (KoFONS) using financial resources granted by the Nuclear Safety and Security Commission (NSSC) of Republuc of Korea (No. 2101073), the Korea Institute of Energy Technology Evaluation and Planning (KETEP), and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. G032579811).

References

  1. M. Seal, IAEA Safeguards Techniques, Equipment, 2003 Edition, International Nuclear Verification Series No. 1 (Revised), 2003 section 4.2. 1. 49.
  2. S. Vaccaro, et al., Advancing the Fork detector for quantitative spent nuclear fuel verification, Nucl. Instrum. Methods Phys. Res. 888 (2018) 202-217. https://doi.org/10.1016/j.nima.2018.01.066
  3. T.W. Laub, S.A. Dupree, R. Arlt, Optimization of the Spent Fuel Attribute Tester Using Radiation Transport Calculations (No. SAND-93-0135C; CONF-930749-11), Sandia National Labs., Albuquerque, NM (United States), 1993.
  4. S.H. Lee, J.H. Moon, An assessment of the radiation dose rate due to an occurrence of the defect on the spent nuclear fuel rod, J. Radiat. Prot. Res. 34 (3) (2009) 144-150.
  5. M. Kuribara, K. Nemoto, Development of new UV-II Cerenkov viewing device, IEEE Trans. Nucl. Sci. 41 (1) (1994) 331-335. https://doi.org/10.1109/23.281518
  6. J.D. Chen, et al., Partial Defect Detection in LWR Spent Fuel Using a Digital Cerenkov Viewing Device, in: Institute of Nuclear Materials Management 50th Annual Meeting Tucson, Arizona, 2009, pp. 12-16.
  7. E. Brayfindley, et al., Automated defect detection in spent nuclear fuel using combined Cerenkov radiation and gamma emission tomography data, Nucl. Technol. 204 (3) (2018) 343-353. https://doi.org/10.1080/00295450.2018.1490123
  8. F. Levai, S. Desi, M. Tarvainen, R. Arlt, Use of High Energy Gamma Emission Tomography for Partial Defect Verification of Spent Fuel Assemblies. Final Report on Task FIN A98 of the Finnish Support Programme to IAEA Safeguards, vol. 56, STUK-YTO-TR, 1993.
  9. M. Mayorov, et al., Gamma emission tomography for the inspection of spent nuclear fuel, in: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC), 2017, pp. 1-2. IEEE.2.
  10. T. Honkamaa, et al., A Prototype for passive gamma emission tomography. In IAEA Symposium on International Safeguards: Linking Strategy, Implementation and People, Vienna. (2014).
  11. E.L. Smith, et al., A viability study of gamma emission tomography for spent fuel verification: JNT 1955 phase I technical report 12-13, 2016, pp. 27-32. PNNL Report, PNNL-25995.
  12. E.A. Miller, L.E. Smith, R.S. Wittman, L.W. Campbell, N.S. Deshmukh, M.A. Zalavadia, et al., Hybrid Gamma Emission Tomography (HGET): FY16 Annual Report, PNNL Report, 2017, pp. 20-27. PNNL-26213.
  13. H.J. Choi, et al., Optimization of single-photon emission computed tomography system for fast verification of spent fuel assembly: a Monte Carlo study, J. Instrum. 14 (7) (2019) T07002. https://doi.org/10.1088/1748-0221/14/07/t07002
  14. R. Bugalho, et al., Experimental results with TOFPET2 ASIC for time-of-flight applications, Nucl. Instrum. Methods A 912 (2018) 195-198. https://doi.org/10.1016/j.nima.2017.11.034
  15. T. Merlin, et al., CASToR: a generic data organization and processing code framework for multi-modal and multi-dimensional tomographic reconstruction, Phys. Med. Biol. 63 (2018) 185005. https://doi.org/10.1088/0031-9155/63/18/185005