Djambazov, G. ORCID: 0000-0001-8812-1269, Bojarevics, V. ORCID: 0000-0002-7326-7748, Pericleous, K. ORCID: 0000-0002-7426-9999 and Forzan, M. (2017) Numerical modelling of silicon melt purification in induction directional solidification system. International Journal of Applied Electromagnetics and Mechanics, 53 (S1). S95-S102. ISSN 1383-5416 (doi:https://doi.org/10.3233/JAE-162248)

Preview

PDF (Author Accepted Manuscript) 16442 DJAMBAZOV_Silicon_Melt_Purification_2017.pdf - Accepted Version Download (993kB) | Preview

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:	Article
Uncontrolled Keywords:	Silicon recycling; Electromagnetic separation; Dual frequency induction melting
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group:	Faculty of Liberal Arts & Sciences 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)
Related URLs:	Publisher
Last Modified:	09 Jun 2020 07:34
Selected for GREAT 2016:	None
Selected for GREAT 2017:	GREAT b
Selected for GREAT 2018:	None
Selected for GREAT 2019:	GREAT 6
Selected for REF2021:	REF 5
URI:	http://gala.gre.ac.uk/id/eprint/16442

Actions (login required)

View Item

Downloads