A multi-analytical methodology for the characterization of industrial samples of spent Ni-MH battery powders.
Black Mass characterization
Clustering algorithms
Elemental mapping
Magnetic susceptibility
Ni-MH battery recycling
Thermal deactivation
Journal
Waste management (New York, N.Y.)
ISSN: 1879-2456
Titre abrégé: Waste Manag
Pays: United States
ID NLM: 9884362
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
30
04
2020
revised:
05
09
2020
accepted:
11
09
2020
pubmed:
5
10
2020
medline:
21
10
2020
entrez:
4
10
2020
Statut:
ppublish
Résumé
A multi-analytical methodology is implemented to characterize several sieving fractions of industrial samples of Black Mass (BM) powders originating from the thermo-mechanical treatment of cylindrical and prismatic-type spent nickel metal-hydride (Ni-MH) batteries. Elemental analyses of 17 elements (including C and O) indicate that the elemental composition of the powders (greater than93 %wt) does not depend on the battery type nor on the sieving fraction. XRD analyses evidence several phases (including Ni, NiO, CeO
Identifiants
pubmed: 33011545
pii: S0956-053X(20)30528-6
doi: 10.1016/j.wasman.2020.09.017
pii:
doi:
Substances chimiques
Metals
0
Powders
0
Nickel
7OV03QG267
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
677-687Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.