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Effect of Contaminant Flow-rate and Applied Voltage on the Current Density and Electric Field of Polymer Tracking Test

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 2 (2016)

DOI
10.11591/ijece.v6i2.9517
ISSN
2088-8708, 2088-8708
Published
2016-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

Electrical failure due to surface discharge on the insulation material will cause material degradation and eventually lead to system failure. The flow of leakage current (LC) on the insulator surface under wet contamination is used to determine the material degradation level. According to IEC 60587 standard, LC exceeding 60 mA for more than two seconds is considered as failure. In this study, the electric field and current density distributions on the linear low-density polyethylene (LLDPE) and natural rubber blend material have been analyzed using finite element method (FEM) analysis. The physical parameters used in FEM simulation were applied with voltage and contaminant flow rate, in accordance to contaminant conductivity. Tracking test condition according to IEC 60587 standard has been applied as proposed by the reference work in simulation using QuickField FEM software. The results show that the electric field and current density would become critical in higher applied voltage and contaminant flow rate. The highest average and highest maximum current density and electric field are found in both applied voltage of 6 kV and contaminant flow rate of 0.90 mlmin -1.

Collaboration network of the authors

13 authors · 32 co-authorship links · 9 across different organisations

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  • University of Technology Malaysia
  • Tun Hussein Onn University of Malaysia
  • Universiti Sains Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nordiana Azlin OthmanTun Hussein Onn University of Malaysia4
Nasir A. Al-geelaniAffiliation unknown4
Ibrahim SaehUniversity of Technology Malaysia4
N. F. KasriUniversity of Technology Malaysia4
Zuraimy AdzisUniversity of Technology Malaysia4
Nasir A. Al-geelaniAffiliation unknown4
Nor Akmal Mohd JamailTun Hussein Onn University of Malaysia1
Nor Aishah MuhammadUniversiti Sains Malaysia1
Qamarul Ezani KamarudinTun Hussein Onn University of Malaysia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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