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 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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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. |
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ISSN: | 0255-5476 1662-9752 1662-9752 |
DOI: | 10.4028/www.scientific.net/MSF.519-521.1041 |