Cited 0 time in
3D printed lithium-ion batteries: An in-depth examination of the advancements in flexibility and stand-alone capability
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mouraliraman, Devanadane | - |
| dc.contributor.author | Thiagarajan, A. | - |
| dc.contributor.author | Deepa, S. | - |
| dc.contributor.author | Sriram, Ganesan | - |
| dc.contributor.author | Aruchamy, Kanakaraj | - |
| dc.contributor.author | Oh, Tae Hwan | - |
| dc.contributor.author | Shin, Dongwook | - |
| dc.date.accessioned | 2024-11-28T15:02:10Z | - |
| dc.date.available | 2024-11-28T15:02:10Z | - |
| dc.date.issued | 2024-03 | - |
| dc.identifier.issn | 2352-152X | - |
| dc.identifier.issn | 2352-1538 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/197175 | - |
| dc.description.abstract | Additive manufacturing techniques (3D printing) provide a promising solution to the complicated, expensive, and material-wasting traditional fabrication process for lithium-ion batteries (LIBs). LIBs are known for their high energy and power density, but the complex electrode architectures limit their practical applications in flexible and wearable devices. 3D printing technology allows the controllable fabrication of complex, flexible, and free-standing 3D architecture with computational stimulation, computer-aided design modeling, and machine learning, which can significantly enhance the performance of LIBs. This article reviews recent developments in 3D printing technology for the fabrication of LIBs, including printing electrode materials of different architectures, electrolyte suitability, rheological properties of inks, and their performance. The review also highlights the controllability of 3D printing on the architecture, such as interdigitated-thickness aligned structure, dimensionality, porosity, and interconnectivity of structures with the help of pre-patterned designs by CAD modeling. To overcome challenges and explore future applications, a detailed review of the intrinsic and extrinsic properties of the material, existing 3D printing techniques with their pros and cons, and their adaptability for practical applications is necessary. Finally, the challenges and possible outcomes for real-time applications of 3D printed LIBs are summarized. | - |
| dc.format.extent | 18 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier BV | - |
| dc.title | 3D printed lithium-ion batteries: An in-depth examination of the advancements in flexibility and stand-alone capability | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.est.2023.110395 | - |
| dc.identifier.scopusid | 2-s2.0-85182261460 | - |
| dc.identifier.wosid | 001161992300001 | - |
| dc.identifier.bibliographicCitation | Journal of Energy Storage, v.81, pp 1 - 18 | - |
| dc.citation.title | Journal of Energy Storage | - |
| dc.citation.volume | 81 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 18 | - |
| dc.type.docType | Review | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Energy & Fuels | - |
| dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
| dc.subject.keywordPlus | ELECTRODE | - |
| dc.subject.keywordPlus | SILICON | - |
| dc.subject.keywordPlus | ANODES | - |
| dc.subject.keywordAuthor | 3D printing technology | - |
| dc.subject.keywordAuthor | Electrode architecture | - |
| dc.subject.keywordAuthor | Energy storage | - |
| dc.subject.keywordAuthor | Lithium-ion batteries | - |
| dc.subject.keywordAuthor | Wearable devices | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2352152X23037945?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
