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Estimation of Probability Distribution of Fatigue Lives in Crank Throw Forged Steel

크랭크스로 단조강의 피로수명의 확률분포 추정

  • Kim, Seon-Jin (Department of Mechanical Design Engineering, Pukyong National University) ;
  • Ahn, Seok-Hwan (Department of Mechatronics, Jungwon University)
  • 김선진 (부경대학교 기계설계공학과) ;
  • 안석환 (중원대학교 메카트로닉스학과)
  • Received : 2016.02.23
  • Accepted : 2016.05.18
  • Published : 2016.06.30

Abstract

Because of the severe service environment of the large marine vessel, the fatigue strength and its evaluation play an important role in design and maintenance of marine crankshaft. The aim of this work is to investigate the probability distribution of fatigue lives in crank throw forged steel and to develop the methodology for estimation of the probabilistic design fatigue strength. Detailed studies were performed on the constant amplitude axial loading fatigue test. The experiments were controlled by stress ratio of -1 and 15Hz frequency for each stress level. The considerable variability of fatigue life was observed in each stress level under rigidly controlled constant fatigue testing conditions. The fatigue life of crank throw forged steel was well followed the log-normal and Weibull distribution. In addition, it can be used for the estimation of probabilistic design fatigue strength by using the proposed methodology.

Keywords

References

  1. S. Tanaka, M. Ichikawa and S. Akita, 1984, "A Probabilistic Investigation of Fatigue Life and Cumulative Cycle Ratio", Engineering Fracture Mechanics, Vol. 20, No. 3, pp. 501-513. https://doi.org/10.1016/0013-7944(84)90055-9
  2. T. Sakai, 1992, "Statistical Properties of Material Strength", YouKenDo, Japan, pp. 33-158.
  3. E. Castillo, A. Fernandez-Canteli and A. S. Hadi, 1999, "On Fitting a Fatigue Model to Data", International Journal of Fatigue, Vol. 21, pp. 97-106.
  4. J. Ling and J. Pan, 1997, "An Engineering method for reliability Analyses of Mechanical Structures for Long Fatigue Lives", Reliability Engineering abd System Safety, Vol. 56, pp. 135-142. https://doi.org/10.1016/S0951-8320(97)00012-4
  5. S. Shimizu, K. Tosha and K. Tsuchiya, 2010, "New Data Analysis of Probabilistic Stress-Life (P-S-N) curve and its Application for Structural Materials", International Journal of Fatigue, Vol. 32, pp. 565-575. https://doi.org/10.1016/j.ijfatigue.2009.07.017
  6. R. Fouchereau, G. Celeux and P. Pamphile, 2014, "Probabilistic Modeling of S-N Curves", International Journal of Fatigue, Vol. 68, pp. 217-223. https://doi.org/10.1016/j.ijfatigue.2014.04.015
  7. M. Sofian, Md. S. Bhuiyan, D. Nie, Y. Otsuka and Y. Mutoh, 2016, "Fatigue Strength Scatter Characteristics of JIS SUS630 Stainless Steel with Duplex S-N Curve", International Journal of Fatigue, Vol. 82, pp. 371-378. https://doi.org/10.1016/j.ijfatigue.2015.08.006
  8. A. G. Evans, 1983, "Statistical Aspects of Cleavage fracture in Steel", Metallurgical Transactions A, Vol. 14, No. 4, pp. 1349-1355. https://doi.org/10.1007/BF02664818
  9. S. Mohd, Y. Mutoh, Y. Otsuka, Y. Miyashita, T. Koike and T. Suzuki, 2012, "Scatter Analysis of Fatigue Life and Pore Size Data of Die-Cast AM60 B Magnesium Alloy", Engineering Failure Analysis, Vol. 22, pp. 64-72. https://doi.org/10.1016/j.engfailanal.2012.01.005
  10. W. J. Dixion and A. M. Mood, 1948, "A Method for Obtaining and Analyzing Sensitivity Data", Journal of American Statistic Association, Vol. 43, pp. 109-126. https://doi.org/10.1080/01621459.1948.10483254
  11. S. J. Kim, G. J. Hwang, T. S. Kim and H. C. Song, 2015, "Prediction of Reliability of Fatigue Limit of Large Marine Crank Throw Component", Proceedings of the Korean Society of Offshore Engineering 2015 Fall Conference, Jeju, pp. 281-282.
  12. M. Fonte, P. Duarte, V. Anes, M. Freitas and L. Reis, 2015, "On the Assessment of Fatigue Life of Marine Diesel Engine Crankshafts", Engineering Failure Analysis, Vol. 56, pp. 51-57. https://doi.org/10.1016/j.engfailanal.2015.04.014
  13. M. Zhai and X. Y. Li, 2012, "A Methodology to Determine a Conditional Probability Density Function Distribution Surface from S-N Data", International Journal of Fatigue, Vol. 44, pp. 107-115. https://doi.org/10.1016/j.ijfatigue.2012.05.008
  14. S. H. Ahn and S. J. Kim, 2013, "Statistical Distribution of Fatigue Crack Growth Rate for Friction Stir Welded Joints of Al7075-T651", Journal of The Korean Society for Power System Engineering, Vol. 17, No. 4, pp. 86-93.
  15. Y. H. Kim and S. J. Kim, 2014, "Effect of Crack Orientation on Spatial Randomness of Fatigue Crack Growth Rate in FSWed 7075-T651 Aluminum Alloy Joints", Journal of The Korean Society for Power System Engineering, Vol. 18, No. 1, pp. 91-98.