2012
DOI: 10.1007/s11661-012-1160-2
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Advanced Procedures for Long-Term Creep Data Prediction for 2.25 Chromium Steels

Abstract: A critical review of recent creep studies concludes that traditional approaches such as steady-state behaviour, power law equations and the view that diffusional creep mechanisms are dominant at low stresses should be seriously reconsidered.Specifically, creep strain rate against time curves show that a decaying primary rate leads into an accelerating tertiary stage, giving a minimum rather than a secondary period. Conventional steady state mechanisms should therefore be abandoned in favour of an understanding… Show more

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Cited by 24 publications
(24 citation statements)
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(16 reference statements)
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“…With surprising consistency the Q c * value was found to be approximately 280 kJ/mol for tests conducted above the initial yield stress of the material, 230 kJ/mol for the intermediate region, and, 280 kJ/mol for low stress/higher temperature tests [47].…”
Section: Eccc-lmmentioning
confidence: 86%
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“…With surprising consistency the Q c * value was found to be approximately 280 kJ/mol for tests conducted above the initial yield stress of the material, 230 kJ/mol for the intermediate region, and, 280 kJ/mol for low stress/higher temperature tests [47].…”
Section: Eccc-lmmentioning
confidence: 86%
“…The first essentially reduces the dataset to obtain the best model fit regardless of creep mechanism and would prove difficult to independently reproduce. The second method uses a known material property limit to split data but does not have the flexibility to apply to different materials such as superalloys, and furthermore to multiple regions as seen in Grade 22, 23, and 24 [47].…”
Section: Region Splittingmentioning
confidence: 99%
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“…Now having large datasets of multiple materials it can be seen that the Gibbs energy approach may provide a better description of creep activation energy. By physically limiting the system through evaluation at normalised stress rather than absolute stress, we have produced more realistic activation energies in a number of cases [22][23][24]. By having realistic activation energies, creep modelling should be able to better characterise the physical system especially in terms of region splitting where a model is partitioned based on a change in creep mechanism [10].…”
Section: Introductionmentioning
confidence: 99%