Prediction of Long Term Stress Rupture Data for 2124

Abstract:

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The standard power law approaches widely used to describe creep and creep fracture behavior have not led to theories capable of predicting long-term data. Similarly, traditional parametric methods for property rationalization also have limited predictive capabilities. In contrast, quantifying the shapes of short-term creep curves using the q methodology introduces several physically-meaningful procedures for creep data rationalization and prediction, which allow straightforward estimation of the 100,000 hour stress rupture values for the aluminum alloy, 2124.

Info:

Periodical:

Materials Science Forum (Volumes 519-521)

Edited by:

W.J. Poole, M.A. Wells and D.J. Lloyd

Pages:

1041-1046

DOI:

10.4028/www.scientific.net/MSF.519-521.1041

Citation:

B. Wilshire et al., "Prediction of Long Term Stress Rupture Data for 2124", Materials Science Forum, Vols. 519-521, pp. 1041-1046, 2006

Online since:

July 2006

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Price:

$35.00

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