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Modeling of tip kinetics of undercooled Ti dendrites with consideration of forced flow and oxygen impurity effects

Modeling of tip kinetics of undercooled Ti dendrites with consideration of forced flow and oxygen impurity effects

Zhao, Dandan, Gao, Jianrong and Kao, Andrew ORCID: 0000-0002-6430-2134 (2020) Modeling of tip kinetics of undercooled Ti dendrites with consideration of forced flow and oxygen impurity effects. International Journal of Heat and Mass Transfer, 159:120113. ISSN 0017-9310 (doi:https://doi.org/10.1016/j.ijheatmasstransfer.2020.120113)

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Abstract

Tip velocities of undercooled dendrites in electromagnetically levitated melt droplets of pure Ti were modeled using a theory on three-dimensional dendritic growth with fluid flow and a dilute solute. The modeling shows that a forced flow due to electromagnetic stirring depresses tip velocities of the dendrites at low undercoolings and that its effect becomes negligible at high undercoolings. In contrast, an oxygen impurity dissolved in liquid Ti depresses tip velocities of the dendrites over a broad range of undercooling while it coarsens tip radii. Such modeling results allowed for reconciliation of discrepancies in literature data by considering an oxygen impurity effect. The modeling also predicts that the effect of the oxygen impurity becomes insignificant when its concentration is reduced below 50 ppm in atomic fraction.

Item Type: Article
Uncontrolled Keywords: dendrites, tip kinetics, modelling, liquid flow, oxygen impurity
Subjects: Q Science > QA Mathematics
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Liberal Arts & Sciences > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 30 Jun 2021 01:38
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: REF 6
URI: http://gala.gre.ac.uk/id/eprint/28772

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