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Dendritic growth velocities in an undercooled melt of pure nickel under static magnetic fields: A test of theory with convection

Dendritic growth velocities in an undercooled melt of pure nickel under static magnetic fields: A test of theory with convection

Kao, Andrew ORCID: 0000-0002-6430-2134, Gao, Jianrong, Mengkun, Han, Pericleous, Koulis ORCID: 0000-0002-7426-9999, Alexandrov, Dmitri V. and Galenko, Peter K. (2015) Dendritic growth velocities in an undercooled melt of pure nickel under static magnetic fields: A test of theory with convection. Acta Materialia, 103. pp. 184-191. ISSN 1359-6454 (doi:10.1016/j.actamat.2015.10.014)

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Abstract

Dendritic growth velocities in an undercooled melt of pure nickel under static magnetic fields up to 6 T were measured using a high-speed camera. The growth velocities for undercoolings below 120 K are depressed under low magnetic fields, but are recovered progressively under high magnetic fields. This retrograde behavior arises from two competing kinds of magnetohydrodynamics in the melt and becomes indistinguishable for higher undercoolings. The measured data is used for testing of a recent theory of dendritic growth with convection. A reasonable agreement is attained by assuming magnetic field-dependent flow velocities. As is shown, the theory can also account for previous data of dendritic growth kinetics in pure succinonitrile under normal gravity and microgravity conditions. These tests demonstrate the efficiency of the theory which provides a realistic description of dendritic growth kinetics of pure substances with convection.

Item Type: Article
Uncontrolled Keywords: Dendritic solidification; Growth kinetics; Undercooling; Static magnetic field; Theory
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Architecture, Computing & Humanities > Department of Mathematical Sciences
Last Modified: 02 May 2018 11:53
Selected for GREAT 2016: GREAT a
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/14864

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