Lena, Claudio, Djambazov, Georgi ORCID: 0000-0001-8812-1269 and Pericleous, Koulis A. ORCID: 0000-0002-7426-9999 (2008) Modelling metal powder production by the gas atomisation process. TMS 2008 Annual Meeting Supplemental Proceedings: Volume 2: Materials Characterization, Computation and Modeling. The Minerals, Metals & Materials Society, Warrendale, Pennsylvania, USA, pp. 279-285. ISBN 978-0-87339-717-9

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Abstract

Metal powder in the range of 10-100 microns is widely employed in the production of Raney nickel type catalysts for hydrogenation reactions and hydrogen fuel cell manufacture. In this presentation we examine the modelling of powder production in a gas atomisation vessel using CFD techniques. In a fully coupled Lagrangian-Eulerian two phase scheme, liquid meal particles are tracked through the vessel following atomisation of a liquid nickel-aluminium stream. There is full momentum, heat and turbulence transport between particles and surrounding argon gas and the model predicts the position of solidification depending on particle size and undercooled condition. Maps of collision probability of particles at different stages of solidification are computed, to predict the creation of satellite defects, or to initiate solidification of undercooled droplets. The model is used to support experimental work conducted under the ESA/EU project IMPRESS.

Item Type:	Book Section
Additional Information:	This paper forms part of the Supplemental Proceedings, consisting of papers from 10 symposia related to materials characterization, computation and modeling, which took place alongside the TMS 2008 Annual Meeting & Exhibition, held 9-13 March 2008, in New Orleans, Louisiana, USA.
Uncontrolled Keywords:	IMPRESS, gas atomization, Lagrangian particle tracking
Subjects:	T Technology > TN Mining engineering. Metallurgy Q Science > QA Mathematics
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Organisation
Last Modified:	05 Mar 2019 12:28
URI:	http://gala.gre.ac.uk/id/eprint/1327

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