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Characterization of Magnetic and Mineralogical Properties of Slag Particles from WEEE Processing

Authors :
Siddique, A.
(0000-0002-9426-647X) Boelens, P.
Long, F.
(0000-0002-4885-799X) Zhou, S.
Cnudde, V.
Leißner, T.
Siddique, A.
(0000-0002-9426-647X) Boelens, P.
Long, F.
(0000-0002-4885-799X) Zhou, S.
Cnudde, V.
Leißner, T.
Source :
Minerals 13(2023)11, 1417
Publication Year :
2023

Abstract

Magnetic separation has wide-ranging applications in both mineral processing and recycling industries. Nevertheless, its conventional utilization often overlooks the interplay between mineral and particle characteristics and their impact on operational conditions, ultimately influencing the efficacy of the separation process. This work describes a methodology able to achieve the comprehensive characterization and classification of Waste Electrical and Electronic Equipment (WEEE) slag. The primary objective is to establish a meaningful connection between the distinct properties of slag phases and their influence on the separation process. Our methodology consists of several stages. Firstly, the WEEE slag is sieved into distinct size classes, followed by classification into magnetic susceptibility classes by using the Frantz Isodynamic separator. To quantify the magnetic susceptibility of each class, we used a magnetic susceptibility balance, and to identify paramagnetic and ferromagnetic fractions and phases within these magnetic susceptibility classes, we conducted vibrating-sample magnetometer measurements. Finally, to establish a meaningful link between the magnetic characterization, mineralogical, and particle-level details, Mineral Liberation Analysis was conducted for each magnetic susceptibility class. This in-depth analysis, encompassing both particle properties and magnetic susceptibility classes, provides a better understanding of the separation behavior of different phases and can help to enrich phases with a specific range of magnetic susceptibility values. This knowledge advances progress towards the development of predictive separation models that are capable of bridging the gap between theoretical understanding and practical application in the field of magnetic separation.

Details

Database :
OAIster
Journal :
Minerals 13(2023)11, 1417
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1415627215
Document Type :
Electronic Resource