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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/21572
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dc.contributor.authorPhillion, A.B.-
dc.contributor.authorVernède, S.-
dc.contributor.authorRappaz, M.-
dc.contributor.authorCockcroft, S.L.-
dc.contributor.authorLee, P.D.-
dc.date.accessioned2017-06-05T15:19:38Z-
dc.date.available2017-06-05T15:19:38Z-
dc.date.issued2009-
dc.identifier.citationPhillion, A. B., et al. "Prediction of solidification behaviour via microstructure models based on granular structures." International Journal of Cast Metals Research 22.1-4 (2009): 240-243.en_US
dc.identifier.other10.1179/136404609X367849-
dc.identifier.urihttp://hdl.handle.net/11375/21572-
dc.description.abstractTwo important factors affecting hot tearing – semi-solid constitutive behaviour and grain percolation – have been simulated through the use of microstructure models based on granular structures. The semi-solid model geometry is based on a modified Voronoi tessellation, and includes rounded corners to approximate an equiaxed-globular grain structure with liquid surrounding the grains. The percolation model combines solidification and thermodynamic aspects to predict the gradual transition within the mushy zone from a continuous liquid to a coherent solid network, while the constitutive behaviour model uses experimentally-derived data to describe the behaviour of the solid grains. By performing a series of models runs over range of grain size and fraction solid, the simulations have revealed an important link between grain size, semi-solid yield stress, strain localization, and grain coalescence. Furthermore, the models provide insight on the relative importance of each mechanism on hot tear formation, and show promise for improving quantitative hot tearing predictions.en_US
dc.description.sponsorshipNSERC, EPSRC (GR/T26344), Alcan CRV (France)en_US
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.subjectSolidification behaviouren_US
dc.subjectSemi-soliden_US
dc.subjectGranular modelen_US
dc.titlePrediction of solidification behaviour via microstructure models based on granular structuresen_US
dc.contributor.departmentMaterials Science and Engineeringen_US
Appears in Collections:Materials Science and Engineering Publications

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