Cargando…

Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology

To reliably detect the latent defects and accurately evaluate the remaining life of gas insulated switchgear (GIS) basin insulators, more effective detection and characterization methods need to be explored. The study of pyrolysis kinetic parameters based on the intrinsic characteristics of material...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Peng, Li, Qingmin, Liu, Honglei, Li, Yunpeng, Peng, Peng, Xue, Naifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926593/
https://www.ncbi.nlm.nih.gov/pubmed/33671766
http://dx.doi.org/10.3390/polym13040653
_version_ 1783659500015714304
author Ren, Peng
Li, Qingmin
Liu, Honglei
Li, Yunpeng
Peng, Peng
Xue, Naifan
author_facet Ren, Peng
Li, Qingmin
Liu, Honglei
Li, Yunpeng
Peng, Peng
Xue, Naifan
author_sort Ren, Peng
collection PubMed
description To reliably detect the latent defects and accurately evaluate the remaining life of gas insulated switchgear (GIS) basin insulators, more effective detection and characterization methods need to be explored. The study of pyrolysis kinetic parameters based on the intrinsic characteristics of materials provides a new way to solve this problem. First, an integral expression model of the reaction mechanism function with four parameters is proposed in this paper, which can represent various existing reaction mechanism functions with better universality and more application fields. Then, on the basis of the temperature transformation equation, an improved method for calculating the activation energy is presented, which shows higher computational accuracy than the existing methods. Further, based on a non-isothermal kinetic equation, the structure of the experimental function is given. It is a method for solving the pyrolysis reaction mechanism function of insulating materials, which can also be used to calculate the pre-exponential factor simultaneously. The thermogravimetric analysis experiment is carried out on a certain basin insulator sample at different heating rates. The pyrolysis kinetic state parameters, including the activation energy, reaction mechanism function and pre-exponential factor of the basin insulator, are calculated. Finally, the life prediction method of basin insulators is established, and the key factors affecting the life of insulators are discussed.
format Online
Article
Text
id pubmed-7926593
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-79265932021-03-04 Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology Ren, Peng Li, Qingmin Liu, Honglei Li, Yunpeng Peng, Peng Xue, Naifan Polymers (Basel) Article To reliably detect the latent defects and accurately evaluate the remaining life of gas insulated switchgear (GIS) basin insulators, more effective detection and characterization methods need to be explored. The study of pyrolysis kinetic parameters based on the intrinsic characteristics of materials provides a new way to solve this problem. First, an integral expression model of the reaction mechanism function with four parameters is proposed in this paper, which can represent various existing reaction mechanism functions with better universality and more application fields. Then, on the basis of the temperature transformation equation, an improved method for calculating the activation energy is presented, which shows higher computational accuracy than the existing methods. Further, based on a non-isothermal kinetic equation, the structure of the experimental function is given. It is a method for solving the pyrolysis reaction mechanism function of insulating materials, which can also be used to calculate the pre-exponential factor simultaneously. The thermogravimetric analysis experiment is carried out on a certain basin insulator sample at different heating rates. The pyrolysis kinetic state parameters, including the activation energy, reaction mechanism function and pre-exponential factor of the basin insulator, are calculated. Finally, the life prediction method of basin insulators is established, and the key factors affecting the life of insulators are discussed. MDPI 2021-02-22 /pmc/articles/PMC7926593/ /pubmed/33671766 http://dx.doi.org/10.3390/polym13040653 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ren, Peng
Li, Qingmin
Liu, Honglei
Li, Yunpeng
Peng, Peng
Xue, Naifan
Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology
title Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology
title_full Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology
title_fullStr Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology
title_full_unstemmed Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology
title_short Thermal Decomposition Mechanism of GIS Basin Insulator and Kinetic Parameters-Based Lifetime Prediction Methodology
title_sort thermal decomposition mechanism of gis basin insulator and kinetic parameters-based lifetime prediction methodology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926593/
https://www.ncbi.nlm.nih.gov/pubmed/33671766
http://dx.doi.org/10.3390/polym13040653
work_keys_str_mv AT renpeng thermaldecompositionmechanismofgisbasininsulatorandkineticparametersbasedlifetimepredictionmethodology
AT liqingmin thermaldecompositionmechanismofgisbasininsulatorandkineticparametersbasedlifetimepredictionmethodology
AT liuhonglei thermaldecompositionmechanismofgisbasininsulatorandkineticparametersbasedlifetimepredictionmethodology
AT liyunpeng thermaldecompositionmechanismofgisbasininsulatorandkineticparametersbasedlifetimepredictionmethodology
AT pengpeng thermaldecompositionmechanismofgisbasininsulatorandkineticparametersbasedlifetimepredictionmethodology
AT xuenaifan thermaldecompositionmechanismofgisbasininsulatorandkineticparametersbasedlifetimepredictionmethodology