Prediction of Long Term Stress Rupture Data for 2124

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 sh...

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Veröffentlicht in:Materials science forum 2006, Vol.519-521, p.1041-1046
Hauptverfasser: Burt, H., Lavery, N.P., Wilshire, Brian
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0255-5476
1662-9752
1662-9752
DOI:10.4028/www.scientific.net/MSF.519-521.1041