Paper Title:
Prediction of Long Term Stress Rupture Data for 2124
  Abstract

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, H. Burt, N.P. Lavery, "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
$32.00
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