Non-Destructive Characterization of Mechanically Processed Waste Printed Circuit Boards

X-ray Fluorescence Spectroscopy and Prompt Gamma Activation Analysis

Document identifier: oai:DiVA.org:ltu-77027
Access full text here:10.3390/jcs3020054
Keyword: Engineering and Technology, Teknik och teknologier, Environmental Engineering, Other Environmental Engineering, Naturresursteknik, Annan naturresursteknik, Deportment/concentration, Metal, Plastic, Liberation/association, Elemental analysis, Neutron, Avfallsteknik, Waste Science and Technology
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 12 Responsible consumption and productionSDG 11 Sustainable cities and communitiesSDG 3 Good health and wellbeing
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

This work aimed to characterize the deportment/concentration and liberation/association of the metals and light elements within mechanically processed waste printed circuit boards (PCBs) that hold the complex and heterogeneous structure and distribution of different material components. Waste PCBs passed through a series of mechanical processing (i.e., comminution and sieving) for metal recovery and were then characterized without further destroying the particles in order to capture their heterogeneity. The characterizations were performed in a laboratory and large-scale neutron facility. The results obtained with a portable X-ray fluorescence spectroscopy and prompt gamma activation analysis were compared and confirmed the good agreement and complementarities in general. The advantages and disadvantages of the two different methods were identified and discussed in this paper, in relation to their application to the analysis of mechanically processed PCB particles.

Authors

Akira Otsuki

Luleå tekniska universitet; Geovetenskap och miljöteknik; Ecole Nationale Supérieure de Géologie, GeoRessources UMR 7359 CNRS, University of Lorraine, Vandoeuvre-lès-Nancy, France
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Pedro Pereira Gonçalves

Ecole Nationale Supérieure de Géologie, GeoRessources UMR 7359 CNRS, University of Lorraine, Vandoeuvre-lès-Nancy, France
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Christian Stieghorst

Heinz Maier-Leibnitz Zentrum (MLZ), Technische Universität München,Garching, Germany
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Zsolt Révay

Heinz Maier-Leibnitz Zentrum (MLZ), Technische Universität München, Garching, Germany
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