Evaluation of graphene/crosslinked polyethylene for potential high voltage direct current cable insulation applications.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
13 Sep 2021
Historique:
received: 06 04 2021
accepted: 24 08 2021
entrez: 14 9 2021
pubmed: 15 9 2021
medline: 15 9 2021
Statut: epublish

Résumé

This paper evaluates the potential usage of graphene/crosslinked polyethylene (graphene/XLPE) as the insulating material for high voltage direct current (HVDC) cables. Thermal, mechanical and electrical properties of blends with/without graphene were evaluated by differential scanning calorimetry (DSC), tensile strength, DC conductivity, space charge measurements and water tree aging test. The results indicate that 0.007-0.008% weight amount of graphene can improve the mechanical and electrical insulation properties of XLPE blends, namely higher tensile/yield strength, improved space charge distribution, and shorter/fewer water tree branches. The improvements mainly attribute to the high stiffness of graphene, deep traps introduced by the interaction zones of graphene and XLPE, and the blockage effect of graphene within XLPE. For thermal performance of XLPE blends, graphene nano-fillers have but limited improvement. The crystallinity of the blends barely changes with the addition of graphene. However, the crosslinking degree increases as the additive-like amounts of graphene doped. The above findings provide a guide for tailoring lightweight XLPE materials with excellent mechanical and electrical performances by doping them with a small amount of graphene.

Identifiants

pubmed: 34518571
doi: 10.1038/s41598-021-97328-x
pii: 10.1038/s41598-021-97328-x
pmc: PMC8438012
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

18139

Subventions

Organisme : Fundamental Research Funds for the Central Universities
ID : YJ201882

Informations de copyright

© 2021. The Author(s).

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Auteurs

Yuan Li (Y)

College of Electrical Engineering, Sichuan University, Chengdu, 610065, China.

Guangya Zhu (G)

College of Electrical Engineering, Sichuan University, Chengdu, 610065, China.

Kai Zhou (K)

College of Electrical Engineering, Sichuan University, Chengdu, 610065, China. derzinit@126.com.

Pengfei Meng (P)

College of Electrical Engineering, Sichuan University, Chengdu, 610065, China.

Guodong Wang (G)

College of Electrical Engineering, Sichuan University, Chengdu, 610065, China.

Classifications MeSH