Djambazov, G. ORCID: https://orcid.org/0000-0001-8812-1269, Bojarevics, V. ORCID: https://orcid.org/0000-0002-7326-7748, Pericleous, K. ORCID: https://orcid.org/0000-0002-7426-9999 and Forzan, M. (2016) Numerical modelling of silicon melt purification in induction directional solidification system. In: HES-16: International Conference on Heating by Electromagnetic Sources. SGEditoriali, Padova, pp. 595-602. ISBN 978-88-89884-32-4 ISSN 2385-2933

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Abstract

Solar grade silicon production is an energy intensive and harmful to the environment process. Yet 40% of this valuable product material is lost into sawdust (kerf loss) during wafering. The kerf waste from Fixed Abrasive Sawing of PV silicon wafers is pelletized and then remelted in an induction furnace. The furnace has a square cross-section quartz crucible, surrounded by graphite susceptors and heated by an induction coil that enables directional solidification of the new ingot. Top and bottom 'pancake' coils provide additional temperature control. Once melted, silicon becomes electrically conductive and subject to stirring by induction. To recycle the silicon, particulate impurities (due to the sawing, condensed silicon oxides or carbides) need to be removed. Flow control and the electromagnetic Leenov-Kolin force are used to expel particulates, through a novel dual frequency induction scheme. Three-dimensional, multi-physics numerical modelling captures the electromagnetic, fluid-flow and heat-transfer effects in this process. The presented results show it is possible to retain the impurity particles on the sides of the solidified ingot where they can be sliced off and removed.

Item Type:	Conference Proceedings
Title of Proceedings:	HES-16: International Conference on Heating by Electromagnetic Sources
Additional Information:	Conference held at Padova, Italy from 24 - 27 May 2016.
Uncontrolled Keywords:	Electromagnetic induction; Particle separation; Liquid silicon
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Related URLs:	Organisation
Last Modified:	04 Mar 2022 13:07
URI:	http://gala.gre.ac.uk/id/eprint/15584

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