Skip navigation

Verification of thermoelectric magnetohydrodynamic flow effects on dendritic tip kinetics by in-situ observations

Verification of thermoelectric magnetohydrodynamic flow effects on dendritic tip kinetics by in-situ observations

Zhao, Rijie, Gao, Jianrong, Kao, Andrew ORCID: 0000-0002-6430-2134 and Pericleous, Koulis ORCID: 0000-0002-7426-9999 (2019) Verification of thermoelectric magnetohydrodynamic flow effects on dendritic tip kinetics by in-situ observations. International Journal of Heat and Mass Transfer, 136. p. 1139. ISSN 0017-9310 (doi:https://doi.org/10.1016/j.ijheatmasstransfer.2019.03.055)

[img] PDF (Author Accepted Manuscript)
23193 PERICLEOUS Verification_of_Thermoelectric_Magnetohydrodynamic_Flow_Effects_2019.pdf - Accepted Version
Restricted to Registered users only until 20 March 2020.

Download (2MB) | Request a copy

Abstract

Magnetohydrodynamic flows can be driven by Lorentz forces acting on thermoelectric currents. Their effects on tip velocities of Pd dendrites solidifying from an undercooled melt under magnetic field intensities of up to 6 T were investigated by in-situ observations using a high-speed camera. At low undercoolings, the tip velocities are depressed by magnetic fields of low and high intensities, but recover under an intermediate magnetic field intensity. At high undercoolings, the tip velocities are also depressed, but their recovery is shifted to a higher magnetic field intensity. These observations on Pd dendrites support and extend the findings obtained in previous studies on Ni and Fe dendrites, and fully verify the convection effects on dendritic growth due to three thermoelectric magnetohydrodynamic flow patterns as predicted in recent numerical simulations.

Item Type: Article
Uncontrolled Keywords: Dendrites; magnetic fields; tip velocities; thermoelectric magnetohydrodynamic flows; in-situ observations
Subjects: Q Science > QA Mathematics
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA)
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: 26 Mar 2019 16:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/23193

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics