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Investigation of molten fuel coolant interaction phenomena using real time X-ray imaging of simulated woods metal-water system

  • Acharya, Avinash Kumar (Fast Reactor Technology Group, Indira Gandhi Centre for Atomic Research, HBNI) ;
  • Sharma, Anil Kumar (Fast Reactor Technology Group, Indira Gandhi Centre for Atomic Research, HBNI) ;
  • Avinash, Ch.S.S.S. (Fast Reactor Technology Group, Indira Gandhi Centre for Atomic Research, HBNI) ;
  • Das, Sanjay Kumar (Fast Reactor Technology Group, Indira Gandhi Centre for Atomic Research, HBNI) ;
  • Gnanadhas, Lydia (Fast Reactor Technology Group, Indira Gandhi Centre for Atomic Research, HBNI) ;
  • Nashine, B.K. (Fast Reactor Technology Group, Indira Gandhi Centre for Atomic Research, HBNI) ;
  • Selvaraj, P. (Fast Reactor Technology Group, Indira Gandhi Centre for Atomic Research, HBNI)
  • 투고 : 2017.02.07
  • 심사 : 2017.07.03
  • 발행 : 2017.10.25

초록

In liquid metal fast breeder reactors, postulated failures of the plant protection system may lead to serious unprotected accidental consequences. Unprotected transients are generically categorized as transient overpower accidents and transient under cooling accidents. In both cases, core meltdown may occur and this can lead to a molten fuel coolant interaction (MFCI). The understanding of MFCI phenomena is essential for study of debris coolability and characteristics during post-accident heat removal. Sodium is used as coolant in liquid metal fast breeder reactors. Viewing inside sodium at elevated temperature is impossible because of its opaqueness. In the present study, a methodology to depict MFCI phenomena using a flat panel detector based imaging system (i.e., real time radiography) is brought out using a woods metal-water experimental facility which simulates the $UO_2-Na$ interaction. The developed imaging system can capture attributes of the MFCI process like jet breakup length, jet front velocity, fragmented particle size, and a profile of the debris bed using digital image processing methods like image filtering, segmentation, and edge detection. This paper describes the MFCI process and developed imaging methodology to capture MFCI attributes which are directly related to the safe aspects of a sodium fast reactor.

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