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Icm11 Paper in Proceeding

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Icm11 Paper in Proceeding
Available online at www.sciencedirect.com Available online at www.sciencedirect.com

Procedia Engineering 10 (2011) 1232–1237 Procedia Engineering 00 (2011) 000–000

Procedia Engineering www.elsevier.com/locate/procedia ICM11

Statistic characteristics of fatigue properties in magnesium alloy
S. Mohda,c, *, Y. Otsukab, Y. Miyashitab, Y. Mutohb a Department of Materials Science, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka 940-2188, Japan b Department of System Safety, Nagaoka Universty of Technology, 1603-1 Kamitomioka, Nagaoka 940-2188, Japan c Department of Aeronautical Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia

Abstract The knowledge of statistic characteristics in mechanical properties is important for designers in order to assess the reliability of structures. Scatter characteristics of fatigue limit, fatigue life and tensile strength for magnesium alloy were investigated in this study. At least 20 specimens were tested to obtain the scatter data of fatigue limit, fatigue life and tensile strength, respectively. The probability distributions of fatigue limit, fatigue life and tensile strength were evaluated by using Normal distribution and Weibull distribution function. The values of the Weibull modulus, m were 159, 10, 175 for fatigue limit, fatigue life and tensile strength, respectively. Therefore, it can be concluded that scatter of fatigue limit is small and almost coincides with that of tensile strength, while scatter of fatigue life is significantly large compared to those of fatigue limit and tensile strength. The large scatter of fatigue life will be due to crack nucleation and small crack growth processes, which strongly depend on local microstructure near the crack nucleation region.

© 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of ICM11
Keywords: Scatter characteristics; fatigue limit; fatigue life; Normal distribution; Weibull



References: [1] Schijve J. Int J Fatigue 2005;27(9):1031-9. [2] Todinov MT. Mater Sci Engng A 1988;255(1-2):117–23. [3] Todinov MT. Computers and Structures 2001;79(3):313-8. [4] Laz PJ, Hillberry BM. Int J Fatigue 1998;20(4):263-70. [5] Yi JZ, Lee PD, Lindley TC, Fukui T. Mater Sci Engng A 2006;432(1-2):59-68. [6] Yi JZ, Gao YX, Lee PD, Flower HM, Lindley TC. Metall. Mater. Trans. A 2003;34(9):1879-90. [7] Nishijima S. Statistical analysis of fatigue data, ASTM STP 744, In: Little RE, Ekvall JC, Eds..American Society for Testing and Materials;1981, p.75-88. [8] S. Mohd, Y. Mutoh, Y. Otsuka, Y. Miyashita. In: Proc. of 47th JSME General Congress Hokuriku Shinetsu Branch;2010,p.159-60. [9] JIS Z2273. General rules for fatigue testing of metals. 1978 [10] ASTM E466-76. Standard recommended practice for constant axial fatigue tests of metallic materials, 1977;10:536-540 [11] Bomas H, Mayr P, Schleicher M. Mater Sci Engng A 1997;234-236:393-6. [12] Zheng X, Wei J. Int J Fatigue 2005;27(6):601-609. [13] Schijve J. Fatigue of Structures and Materials. 2nd ed.: Springer;2008, p.14-32.

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