@Article{sdhm.2011.007.139, AUTHOR = {Ramamurty Raju P., Rajesh S., Satyanarayana B., Ramji K.}, TITLE = {Statistical Analysis of Fatigue Life Data of A356.2-T6 Aluminum Alloy}, JOURNAL = {Structural Durability \& Health Monitoring}, VOLUME = {7}, YEAR = {2011}, NUMBER = {1&2}, PAGES = {139--152}, URL = {http://www.techscience.com/sdhm/v7n1&2/35275}, ISSN = {1930-2991}, 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.}, DOI = {10.3970/sdhm.2011.007.139} }