대한금속재료학회지 (Korean Journal of Metals and Materials)

  • 제46권3호
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  • Pages.118-124
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  • 2008
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  • 1738-8228(pISSN)
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  • 2288-8241(eISSN)
대한금속재료학회 (The Korean Institute of Metals and Materials)
권호 표지

Type 316LN 스테인리스강의 장시간 크리프 수명 예측을 위한 최소구속법의 적용

Application of Minimum Commitment Method for Predicting Long-Term Creep Life of Type 316LN Stainless Steel

  • 김우곤 (한국원자력연구원 원자력 재료 연구부) ;
  • 윤송남 (한국원자력연구원 원자력 재료 연구부) ;
  • 류우석 (한국원자력연구원 원자력 재료 연구부) ;
  • 이찬복 (한국원자력연구원 원자력 재료 연구부)
  • Kim, Woo-Gon (Korea Atomic Energy Research Institute (KAERI), Nuclear Material Technology Development Division) ;
  • Yin, Song-Nan (Korea Atomic Energy Research Institute (KAERI), Nuclear Material Technology Development Division) ;
  • Ryu, Woo-Seog (Korea Atomic Energy Research Institute (KAERI), Nuclear Material Technology Development Division) ;
  • Lee, Chan-Bock (Korea Atomic Energy Research Institute (KAERI), Nuclear Material Technology Development Division)
  • 투고 : 2007.09.01
  • 발행 : 2008.03.22
⟨ 이전 논문 다음 논문 ⟩

초록

Abstract: A minimum commitment method(MCM) was applied to predict the long-term creep rupture life for type 316LN stainless steel(SS). Lots of the creep-rupture data for the type 316LN SS were collected through world-wide literature surveys and the experimental data of KAERI. Using these data, the long-term creep rupture life above ${10}^5$ hour was predicted by means of the MCM. In order to obtain the most appropriate value for the constant A being used in the MCM equation, trial and error method was used for the wide ranges from -0.12 to 0.12, and the best value was determined by using the coefficient of determination, $R^2$ which is a statistical parameter. A suitable value for the A in type 316LN stainless steel was found to be at -0.02 ~ -0.05 ranges. It is considered that the MCM will be superior in creep-life prediction to commonly-used timetemperature parametric method, because the P(T) and G($\sigma$) functions are determined from the regression method based on experimental data.

키워드

과제정보

연구 과제 주관 기관 : 과학기술부

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