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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/26635
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dc.contributor.authorFan, P.-
dc.contributor.authorCockcroft, S.L.-
dc.contributor.authorMaijer, D.M.-
dc.contributor.authorYao, L.-
dc.contributor.authorReilly, C.-
dc.contributor.authorPhillion, A.B.-
dc.date.accessioned2021-06-22T21:09:24Z-
dc.date.available2021-06-22T21:09:24Z-
dc.date.issued2019-
dc.identifier.otherhttps://doi.org/10.1007/s11663-019-01642-9-
dc.identifier.urihttp://hdl.handle.net/11375/26635-
dc.description.abstractA FLUENT(TM)-based thermal-fluid-compositional model has been developed and applied to a low-pressure, die-cast, A356 aluminium alloy wheel to explore the effects of macro-segregation of hydrogen and late-stage liquid encapsulation on pore formation during solidification. Based on the evolution of temperature, pressure, and hydrogen concentration in the liquid output from FLUENT, the porosity size distribution has been predicted at a number of locations in a commercially produced wheel using an in-house micro-porosity model. The porosity model incorporates pore nucleation kinetics based on hydrogen supersaturation, and two modes of pore growth: the first, occurring at low solid fractions is based on hydrogen diffusion; and the second, occurring at high solid fractions is based on conservation of volume. Samples from a commercially cast wheel have been analyzed using X-ray micro-tomography to provide basic validation of the micro-porosity model. The predicted results showed that the evolution in pressure has the dominant effect on pore growth, but only under conditions where pores have nucleated prior to late-stage liquid encapsulation. Otherwise, the cooling rate appears to have the dominant effect. The accuracy of the model is discussed in terms of the predicted pore size distribution and number density of pores. Areas for continued development are presented.en_US
dc.description.sponsorshipNSERC, EPSRC (EP/I02249X/1 & EP/M009688/1)en_US
dc.language.isoenen_US
dc.publisherMetallurgical and Materials Transaction Ben_US
dc.subjectporosity predictionen_US
dc.subjectnumerical simulationen_US
dc.subjectwheel castingen_US
dc.subjectA356 aluminum alloyen_US
dc.titlePOROSITY PREDICTION IN A356 WHEEL CASTINGen_US
dc.typeArticleen_US
dc.contributor.departmentMaterials Science and Engineeringen_US
Appears in Collections:Materials Science and Engineering Publications

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