한국기계가공학회지 (Journal of the Korean Society of Manufacturing Process Engineers)

  • 제21권1호
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  • Pages.22-27
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  • 2022
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  • 1598-6721(pISSN)
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  • 2288-0771(eISSN)
한국기계가공학회 (The Korean Society of Manufacturing Process Engineers)
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원자로 해체를 위한 수중 아크 금속 절단기술에 대한 연구

A Study on Contact Arc Metal Cutting for Dismantling of Reactor Pressure Vessel

  • 김찬규 (한국재료연구원 재료안전평가본부 접합기술연구실) ;
  • 문도영 (한토커팅시스템(주)) ;
  • 문일우 (한토커팅시스템(주)) ;
  • 조영태 (창원대학교 메카트로닉스대학 기계공학부)
  • Kim, Chan Kyu (Department of Joining Technology, Materials testing & Reliability Division, Korea Institute of Materials Science) ;
  • Moon, Do Yeong (HANTO CUTTING SYSTEM.) ;
  • Moon, Il Woo (HANTO CUTTING SYSTEM.) ;
  • Cho, Young Tae (Department of Mechanical Engineering, Changwon National Univ.)
  • 투고 : 2021.07.28
  • 심사 : 2021.09.12
  • 발행 : 2022.01.31
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초록

In accordance with the growing trend of decommissioning nuclear facilities, research on the cutting process is actively proceeding worldwide. In general, a thermal cutting process, such as plasma cutting is applied to decommissioning a nuclear reactor pressure vessel (RPV). Plasma cutting has the advantage of removing the radioactive materials and being able to cut thick materials. However, when operating under water, the molten metal remains in the cut plane and re-solidifies. Hence, cutting is not entirely accomplished. For these environmental reasons, it is difficult to cut thick metal. The contact arc metal cutting (CAMC) process can be used to cut thick metal under water. CAMC is a process that cuts metal using a plate-shaped electrode based on a high-current arc plasma heat source. During the cutting process, high-pressure water is sprayed from the electrode to remove the molten metal, known as rinsing. As the CAMC is conducted without using a shielding gas, such as Argon, the electrode is consumed during the process. In this study, CAMC is introduced as a method for dismantling nuclear vessels and the relationship between the metal removal and electrode consumption is investigated according to the cutting conditions.

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과제정보

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2019R1A5A8083201)

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