• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
JES. Journal of Engineering Sciences
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 53 (2025)
Volume Volume 52 (2024)
Volume Volume 51 (2023)
Volume Volume 50 (2022)
Volume Volume 49 (2021)
Volume Volume 48 (2020)
Volume Volume 47 (2019)
Volume Volume 46 (2018)
Volume Volume 45 (2017)
Volume Volume 44 (2016)
Volume Volume 43 (2015)
Volume Volume 42 (2014)
Volume Volume 41 (2013)
Volume Volume 40 (2012)
Volume Volume 39 (2011)
Issue No 6
Issue No 5
Issue No 4
Issue No 3
Issue No 2
Issue No 1
Volume Volume 38 (2010)
Volume Volume 37 (2009)
Volume Volume 36 (2008)
Volume Volume 35 (2007)
Volume Volume 34 (2006)
Thabet, A. (2011). ADVANCED SIMULATION MODELS FOR PREDICTING ELECTRIC RESPONSE AND AGING OF NANOCOMPOSITE INDUSTRIAL INSULATION MATERIALS. JES. Journal of Engineering Sciences, 39(No 1), 73-86. doi: 10.21608/jesaun.2011.119695
A. Thabet. "ADVANCED SIMULATION MODELS FOR PREDICTING ELECTRIC RESPONSE AND AGING OF NANOCOMPOSITE INDUSTRIAL INSULATION MATERIALS". JES. Journal of Engineering Sciences, 39, No 1, 2011, 73-86. doi: 10.21608/jesaun.2011.119695
Thabet, A. (2011). 'ADVANCED SIMULATION MODELS FOR PREDICTING ELECTRIC RESPONSE AND AGING OF NANOCOMPOSITE INDUSTRIAL INSULATION MATERIALS', JES. Journal of Engineering Sciences, 39(No 1), pp. 73-86. doi: 10.21608/jesaun.2011.119695
Thabet, A. ADVANCED SIMULATION MODELS FOR PREDICTING ELECTRIC RESPONSE AND AGING OF NANOCOMPOSITE INDUSTRIAL INSULATION MATERIALS. JES. Journal of Engineering Sciences, 2011; 39(No 1): 73-86. doi: 10.21608/jesaun.2011.119695

ADVANCED SIMULATION MODELS FOR PREDICTING ELECTRIC RESPONSE AND AGING OF NANOCOMPOSITE INDUSTRIAL INSULATION MATERIALS

Article 5, Volume 39, No 1, January and February 2011, Page 73-86  XML PDF (290.79 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2011.119695
View on SCiNiTO View on SCiNiTO
Author
A. Thabet
Aswan, Nanotechnology Research Centre NTRC, High Institute of Energy, South Valley University, Aswan, Egypt
Abstract
Electric response of nanocomposite industrial materials has been
investigated for all possible causes and effects of the interphase region
on a variety of complex composite systems by using Interphase Power
Law IPL model. Thus, this paper investigates the effective dielectric
response of nanocomposite industrial insulation materials and effects of
the interphase region on a variety of complex composite systems.
According to the statistical approach of failure in polymeric insulators,
that leads us to predict the procedures and mechanisms of failures which
occur within insulating materials, this paper illustrates the failure
statistics of a life model for ac electrical aging of nanocomposite
insulation industrial materials which depicts the mechanisms of
electrical breakdown under high voltage electric fields by advanced
simulation model program. Case studies are used to illustrate the way
and mechanisms which mechanistic features which can be related to the
parameters of the failure statistic. Realized lifetime of insulation
materials can be evaluated by means of this model. Aging of polymeric
insulators has been examined through various high voltage electric
fields, so the possibility of predicting the lifetime of individual specimens
has been succeeded.
Keywords
Nanocomposite; Nanofillers; Life-time; Statistical; Polymers; Electrical aging; thin films
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
Statistics
Article View: 126
PDF Download: 247
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.