스테인리스 강의 단시간 크리프 파단시간의 변동성과 수명예측
Variability of Short Term Creep Rupture Time and Life Prediction in Stainless Steels
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This paper deals with the variability of short term creep rupture time based on previous creep rupture tests and the statistical methodology of the creep life prediction. The results of creep tests performed using constant uniaxial stresses at 600, 650, and 700oC elevated temperatures were used for a statistical analysis of the inter-specimen variability of the short term creep rupture time. Even under carefully controlled identical testing conditions, the observed short-term creep rupture time showed obvious inter-specimen variability. The statistical aspect of the short term creep rupture time was analyzed using a Weibull statistical analysis. The effect of creep stress on the variability of the creep rupture time was decreased with an increase in the stress level. The effect of the temperature on the variability also decreased with increasing temperature. A long term creep life prediction method that considers this statistical variability is presented. The presented method is in good agreement with the Lason-Miller Parameter (LMP) life prediction method.
Abstract
This paper deals with the variability of short term creep rupture time based on previous creep rupture tests and the statistical methodology of the creep life prediction. The results of creep tests performed using constant uniaxial stresses at 600, 650, and 700oC elevated temperatures were used for a statistical analysis of the inter-specimen variability of the short term creep rupture time. Even under carefully controlled identical testing conditions, the observed short-term creep rupture time showed obvious inter-specimen variability. The statistical aspect of the short term creep rupture time was analyzed using a Weibull statistical analysis. The effect of creep stress on the variability of the creep rupture time was decreased with an increase in the stress level. The effect of the temperature on the variability also decreased with increasing temperature. A long term creep life prediction method that considers this statistical variability is presented. The presented method is in good agreement with the Lason-Miller Parameter (LMP) life prediction method.
참고문헌 (14)
- Davies, R.B, "Statistical Modeling of Creep Rupture Data", Trans. of the ASME, 121, pp.264~271 (1999)
- Evans,M, "A Statistical Analysis of the Failure Time Distribution for 1", 2Cr1, 4V Steel Tubes in the Presence of Outliers, pp.Int. J. Pres. Ves. & Piping, 1994[DOI]
- 김윤재, "크리프 균열 성장 실험을 위한 소성 변위 결정법", 대한기계학회논문집 A, 30(10), pp.1219~1226 (2006), 대한기계학회
- Kececioglu,D, "Reliability Engineering Handbook,Vol 1", pp.271~331 (1991)
- Kim, S.J, "Statistical Properties Creep Rupture Data Distribution for STS304 Stainless Steels", Materials Science and Engineering A, 483, pp.529~532 (2008)
- 김선진, "스테인리스강의 고온 기계적 성질에 대한 확률분포 특성", 한국해양공학회지, 18(2), pp.64~69 (2004), 한국해양공학회
- 김 우 곤, "시간-온도 파라미터 방법에 의한 Type 316LN 강의 크리프 수명 예측과 표준오차 분석", 대한기계학회논문집 A, 29(1), pp.74~80 (2005), 대한기계학회
- Kim, W.G, "Probabilistic Analysis for the Creep Crack Growth Rate of Type 316LN Stainless Steel by the Monte Carlo Simulation", Journal of ASTM International (JAI), 3(1), pp.1~6 (2006)
- Larson, F.R, "A Time Temperature Relationship for Rupture and Creep Stresses", Transaction of the ASME, pp.765~775 (1952)
- NRIM, "NRIM Creep Data Sheet 1", National Research Institute for Metals, Japan, 32(4) (1990)
- Oh, S.K, "Creep Prediction by Initial Strain Method for Aging Treated Friction Welds of Heat Resisting Steels", Int. J. of Ocean Engineering and Technology, 2(2), pp.13~18 (1999)
- 서현욱, "전기화학적 분극법을 이용한 12Cr강의 고온 재질열화도 평가", 대한기계학회논문집 A, 30(8), pp.965~975 (2006), 대한기계학회
- Weibull,W, "A Statistical Distribution Function of Wide Applicability", Journal of Applied Mechanics, 18, pp.293~297 (1951)
- Yokoi, S, "Prediction of Long-time Creep-Rupture Strength for High-Temperature Materials", Iron and Steel, 65, pp.831~842 (1979)