Short-term Breakdown and Long-term Failure in Nanodielectrics: A Review

Li, Shengtao , Yin, Guilai, Chen, George, Li, Jianying, Bai, Suna, Zhong, Lisheng, Zhang, Yunxia and Lei, Qingquan (2010) Short-term Breakdown and Long-term Failure in Nanodielectrics: A Review. IEEE Transactions on Dielectrics and Electrical Insulation, 17, (5), 1523-1535.


[img] PDF
Download (3471Kb)


Nanodielectrics, which are concentrated in polymer matrix incorporating nanofillers, have received considerable attention due to their potential benefits as dielectrics. In this paper, short-term breakdown and long-term failure properties of nanodielectrics have been reviewed. The characteristics of polymer matrix, types of nanoparticle and its content, and waveforms of the applied voltage are fully evaluated. In order to effectively comment on the published experimental data, a ratio k has been proposed to compare the electric properties of the nanodielectrics with the matrix and assess the effect for nanoparticles doping. There is evidence that the short-term breakdown properties of nanodielectrics show a strong dependence on the applied voltage waveforms. The polarity and the cohesive energy density (CED) of polymer matrix have a dramatic influence on the properties of nanodielectrics. Nanoparticle doped composites show a positive effect on the long-term failure properties, such as ageing resistance and partial discharge (PD) properties of nanocomposites are superior than microcomposites and the matrix. The larger the dielectric constant and CED of the matrix become, the more significant improvements in long-term performance appear. Based on the reported experimental results, we also present our understandings and propose some suggestions for further work.

Item Type: Article
ISSNs: 1070-9878
Keywords: Nanodielectric, short-term breakdown, long-term degradation, cohesive energy density.
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 271631
Accepted Date and Publication Date:
October 2010Published
Date Deposited: 14 Oct 2010 13:08
Last Modified: 31 Mar 2016 14:19
Further Information:Google Scholar

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics