2005
DOI: 10.1016/j.msea.2005.08.108
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Material modelling data for superplastic forming optimisation

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Cited by 22 publications
(21 citation statements)
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“…In a number of works, DGG rate was well described and modelled using equations similar to the following (Ridley et al ., 2005; Bate, 2007): where D is the mean grain diameter, is the strain rate and is the grain growth coefficient. The index q is attributed to the effect of second‐phase particles and will be less than 1 if the particles coarsen with time.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In a number of works, DGG rate was well described and modelled using equations similar to the following (Ridley et al ., 2005; Bate, 2007): where D is the mean grain diameter, is the strain rate and is the grain growth coefficient. The index q is attributed to the effect of second‐phase particles and will be less than 1 if the particles coarsen with time.…”
Section: Resultsmentioning
confidence: 99%
“…In practice, most superplastic materials show a sigmoidal variation of the flow stress with strain rate, and a value of m > 0.3 corresponds to alloys that give superplastic properties. Perturbed‐rate tests (±10% variation of the nominal strain rate), carried out to calculate m (Ridley et al ., 2005), showed that the Al‐4wt%Cu is not a superplastic material ( m approximately 0.22), whereas the Al‐33wt%Cu proved to be an alloy that with certain testing conditions gives superplastic properties ( m approximately 0.6–0.8).…”
Section: Introductionmentioning
confidence: 99%
“…It can be found that, whether for the objective function build on the thickness values the final error was very small (Q s value less than 1 %), the Q h did not go under a value of 6.6 %. This was considered as a direct consequence of the constitutive equation used to represent the material behaviour, where C and m values were constant even if it was demonstrated that, especially, for 5XXX aluminium alloys it's a too strong approximation [20]. This will showed also in the next section where a constitutive model with a variable m is described.…”
Section: Inverse Analysis For Materials Constants Estimationmentioning
confidence: 99%
“…This can be done by measuring the elongation to failure in standard tensile tests and the strain rate sensitivity index in jump strain rate tests [9]. Some authors have demonstrated that, when grain boundary sliding (GBS) is the predominant deformation mechanism, the stress and strain condition has a marginal role in the material characterization [10].…”
Section: Materials Characterizationmentioning
confidence: 99%