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Statistical Analysis of Fatigue Life Data of A356.2-T6 Aluminum Alloy

Ramamurty Raju P.1, Rajesh S.1, Satyanarayana B.2, Ramji K.3

1 Department of Mechanical Engineering, S.R.K.R.E.C, Bhimavaram-534204.
2 Andhra University, Visakhapatnam-530 003
3 Department of Mechanical Engineering, A.U.C.E (A), Visakhapatnam-530 003

Structural Durability & Health Monitoring 2011, 7(1&2), 139-152. https://doi.org/10.3970/sdhm.2011.007.139

Abstract

This paper presents the details of method of sample size determination to estimate the characteristic fatigue life of aluminum alloy, A356.2-T6. The characteristic fatigue life of the alloy has been estimated by assuming log normal distribution model. A step wise procedure is outlined to determine the number of specimens required at predetermined stress amplitude to estimate the fatigue life with an acceptable error at 50% probability and various confidence levels, 90%, 95% and 99%. Maximum percentage of errors has also been calculated for the above probability and confidence levels. Details of generation of S-N curve for aluminum alloy A356.2-T6 using regression analysis have been explained. From this study, the adequate sample size required for evaluating the average fatigue life of A356.2-T6 with an acceptable error at 50% probability and 90% confidence level using log normal distribution is established. In order to check the significance of regression equation, analysis of variance (ANOVA) is performed.

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APA Style
P., R.R., S., R., B., S., K., R. (2011). Statistical analysis of fatigue life data of A356.2-T6 aluminum alloy. Structural Durability & Health Monitoring, 7(1&2), 139-152. https://doi.org/10.3970/sdhm.2011.007.139
Vancouver Style
P. RR, S. R, B. S, K. R. Statistical analysis of fatigue life data of A356.2-T6 aluminum alloy. Structural Durability Health Monit . 2011;7(1&2):139-152 https://doi.org/10.3970/sdhm.2011.007.139
IEEE Style
R.R. P., R. S., S. B., and R. K., “Statistical Analysis of Fatigue Life Data of A356.2-T6 Aluminum Alloy,” Structural Durability Health Monit. , vol. 7, no. 1&2, pp. 139-152, 2011. https://doi.org/10.3970/sdhm.2011.007.139



cc Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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