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Gravure Printing of Graphite-Based Anodes for Lithium-Ion Printed Batteries

TitleGravure Printing of Graphite-Based Anodes for Lithium-Ion Printed Batteries
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2022
AuthorsMontanino, M., De Girolamo Del Mauro Anna, Paoletti C., and Sico G.
JournalMembranes
Volume12
ISSN20770375
KeywordsAnodes, Ball milling, Case-studies, Functional materials, Graphene, Graphic methods, Graphite, Gravure printing, High quality, Influence of process parameters, Ions, Layer microstructures, Lithium ions, Lithium-ion batteries, Low-costs, Mass production, Microstructure, Multilayers, performance, Printed battery
Abstract

Aimed at the growing interest in printed batteries, widely used industrial gravure printing was recently proven to be able to produce high-quality electrodes for lithium-ion batteries (LiBs), demonstrating its utility in the study of new functional materials. Here, for the first time, gravure printing was investigated for the mass production of well-known low-cost graphite-based anodes for LiBs. Graphite was also chosen as a case study to explore the influence of process parameters on the layer microstructure and the performance of the printed anodes. In particular, upon decreasing the size of the active material nanoparticles through ball-milling, an enhancement in anode performance was observed, which is related to an improvement in the material distribution in the printed layer, even in the case of increasing mass loading through a multilayer approach. A further improvement in performance, close to the theoretical capacity, was possible by changing the ink parameters, obtaining a denser microstructure of the printed anode. Such good results further demonstrate the possibility of using gravure printing for the mass production of electrodes for printed batteries and, in general, components in the field of energy. © 2022 by the authors.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85140975012&doi=10.3390%2fmembranes12100999&partnerID=40&md5=37bfb88b0c7aba6ab6a3da1de44fac1e
DOI10.3390/membranes12100999
Citation KeyMontanino2022