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Selective Milling and Elemental Assay of Printed Circuit Board Particles for Their Recycling Purpose
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering. Ecole Nationale Supérieure de Géologie, GeoRessources UMR 7359 CNRS, University of Lorraine, Vandoeuvre-lès-Nancy, France.
Ecole Nationale Supérieure de Géologie, GeoRessources UMR 7359 CNRS, University of Lorraine, Vandoeuvre-lès-Nancy, France.
Ecole Nationale Supérieure de Géologie, GeoRessources UMR 7359 CNRS, University of Lorraine, Vandoeuvre-lès-Nancy, France.
2019 (English)In: Metals, ISSN 2075-4701, Vol. 9, no 8, article id 899Article in journal (Refereed) Published
Abstract [en]

Selective/preferential milling of printed circuit board (PCB) particles followed by non-destructive characterization of the mill products was performed in order to understand the effects of different feed masses into a hammer mill and different milling time on the metal recovery and enrichment ratio. Those are important variables affecting and determining the process performance and capacity. The milling tests and elemental assay characterization were conducted by using a hammer mill and a portable X-ray fluorescence analysis (XRF), respectively. The results showed the preferential metal concentration/enrichment was achieved for several elements and their degree was varied depending on the parameters. Using the experimental data, predictive models of metal recovery were developed and the global trend of metal recoveries was observed under different mill feed and milling time and discussed.

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 9, no 8, article id 899
Keywords [en]
metal recovery, concentration, enrichment, modeling, heterogeneity, non-destructive characterization
National Category
Other Environmental Engineering
Research subject
Waste Science and Technology
Identifiers
URN: urn:nbn:se:ltu:diva-76070DOI: 10.3390/met9080899ISI: 000484510000089Scopus ID: 2-s2.0-85071508885OAI: oai:DiVA.org:ltu-76070DiVA, id: diva2:1353055
Note

Validerad;2019;Nivå 2;2019-09-20 (johcin)

Available from: 2019-09-20 Created: 2019-09-20 Last updated: 2019-10-08Bibliographically approved

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CiteExportLink to record
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  • apa
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