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Collector-metal behaviour in the recovery of platinum-group metals from catalytic converters

Collector-metal behaviour in the recovery of platinum-group metals from catalytic converters

Benson, M., Bennett, C.R., Patel, M.K., Harry, J.E. and Cross, M. (2000) Collector-metal behaviour in the recovery of platinum-group metals from catalytic converters. Transactions of the Institute of Mining and Metallurgy, Section C: Mineral Processing and Extractive Metallurgy, 109 (1). pp. 6-10. ISSN 0371-9553 (Print), 1743-2855 (Online) (doi:10.1179/mpm.2000.109.1.6)

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Abstract

A commercial pyrometallurgical process for the extraction of platinum-group metals (PGM) from a feedstock slag was analysed with the use of a model based on computational fluid dynamics. The results of the modelling indicate that recovery depends on the behaviour of the collector phase. A possible method is proposed for estimation of the rate at which PGM particles in slag are absorbed into an iron collector droplet that falls through it. Nanoscale modelling techniques (for particle migration or capture) are combined with a diffusion-controlled mass-transfer model to determine the iron collector droplet size needed for >95% PGM recovery in a typical process bath (70 mm deep) in a realistic time-scale (<1 h). The results show that an iron droplet having a diameter in the range 0.1–0.3 mm gives good recovery (>90%) within a reasonable time. This finding is compatible with published experimental data. Pyrometallurgical processes similar to that investigated should be applicable to other types of waste that contain low levels of potentially valuable metals.

Item Type: Article
Uncontrolled Keywords: pyrometallurgical process, platinum-group metals, (PGM), computational fluid dynamics, (CFD)
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TN Mining engineering. Metallurgy
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 Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/421

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