Nuclear Engineering and Technology

  • 제55권9호
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  • Pages.3206-3212
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  • 2023
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  • 1738-5733(pISSN)
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  • 2234-358X(eISSN)
한국원자력학회 (Korean Nuclear Society)
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Feasibility study on fiber-optic inorganic scintillator array sensor system for multi-dimensional scanning of radioactive waste

  • Jae Hyung Park (School of Energy Systems Engineering, Chung-Ang University) ;
  • Siwon Song (School of Energy Systems Engineering, Chung-Ang University) ;
  • Seunghyeon Kim (School of Energy Systems Engineering, Chung-Ang University) ;
  • Jinhong Kim (School of Energy Systems Engineering, Chung-Ang University) ;
  • Seunghyun Cho (Department of Organic Materials and Fiber Engineering, College of Engineering, Soongsil University) ;
  • Cheol Ho Pyeon (Research Center for Safe Nuclear System, Institute for Integrated Radiation and Nuclear Science, Kyoto University) ;
  • Bongsoo Lee (School of Energy Systems Engineering, Chung-Ang University)
  • 투고 : 2023.04.18
  • 심사 : 2023.06.01
  • 발행 : 2023.09.25
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초록

We developed a miniaturized multi-dimensional radiation sensor system consisting of an inorganic scintillator array and plastic optical fibers. This system can be applied to remotely obtain the radioactivity distribution and identify the radionuclides in radioactive waste by utilizing a scanning method. Variation in scintillation light was measured in two-dimensional regions of interest and then converted into radioactivity distribution images. Outliers present in the images were removed by using a digital filter to make the hot spot location more accurate and cubic interpolation was applied to make the images smoother and clearer. Next, gamma-ray spectroscopy was performed to identify the radionuclides, and three-dimensional volume scanning was also performed to effectively find the hot spot using the proposed array sensor.

키워드

과제정보

This research was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korean government (MOTIE) (No. 20201520300060) and the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020M2D2A2062457, 2022M2D4A1084440).

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