Cargando…
Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review
The determination of the secure working life of polymeric materials is essential for their successful application in the packaging, medicine, engineering and consumer goods industries. An understanding of the chemical and physical changes in the structure of different polymers when exposed to long-t...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599543/ https://www.ncbi.nlm.nih.gov/pubmed/33053659 http://dx.doi.org/10.3390/ma13204507 |
_version_ | 1783602900795129856 |
---|---|
author | Plota, Angelika Masek, Anna |
author_facet | Plota, Angelika Masek, Anna |
author_sort | Plota, Angelika |
collection | PubMed |
description | The determination of the secure working life of polymeric materials is essential for their successful application in the packaging, medicine, engineering and consumer goods industries. An understanding of the chemical and physical changes in the structure of different polymers when exposed to long-term external factors (e.g., heat, ozone, oxygen, UV radiation, light radiation, chemical substances, water vapour) has provided a model for examining their ultimate lifetime by not only stabilization of the polymer, but also accelerating the degradation reactions. This paper presents an overview of the latest accounts on the impact of the most common environmental factors on the degradation processes of polymeric materials, and some examples of shelf life of rubber products are given. Additionally, the methods of lifetime prediction of degradable polymers using accelerated ageing tests and methods for extrapolation of data from induced thermal degradation are described: the Arrhenius model, time–temperature superposition (TTSP), the Williams–Landel–Ferry (WLF) model and 5 isoconversional approaches: Friedman’s, Ozawa–Flynn–Wall (OFW), the OFW method corrected by N. Sbirrazzuoli et al., the Kissinger–Akahira–Sunose (KAS) algorithm, and the advanced isoconversional method by S. Vyazovkin. Examples of applications in recent years are given. |
format | Online Article Text |
id | pubmed-7599543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75995432020-11-01 Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review Plota, Angelika Masek, Anna Materials (Basel) Review The determination of the secure working life of polymeric materials is essential for their successful application in the packaging, medicine, engineering and consumer goods industries. An understanding of the chemical and physical changes in the structure of different polymers when exposed to long-term external factors (e.g., heat, ozone, oxygen, UV radiation, light radiation, chemical substances, water vapour) has provided a model for examining their ultimate lifetime by not only stabilization of the polymer, but also accelerating the degradation reactions. This paper presents an overview of the latest accounts on the impact of the most common environmental factors on the degradation processes of polymeric materials, and some examples of shelf life of rubber products are given. Additionally, the methods of lifetime prediction of degradable polymers using accelerated ageing tests and methods for extrapolation of data from induced thermal degradation are described: the Arrhenius model, time–temperature superposition (TTSP), the Williams–Landel–Ferry (WLF) model and 5 isoconversional approaches: Friedman’s, Ozawa–Flynn–Wall (OFW), the OFW method corrected by N. Sbirrazzuoli et al., the Kissinger–Akahira–Sunose (KAS) algorithm, and the advanced isoconversional method by S. Vyazovkin. Examples of applications in recent years are given. MDPI 2020-10-12 /pmc/articles/PMC7599543/ /pubmed/33053659 http://dx.doi.org/10.3390/ma13204507 Text en © 2020 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 | Review Plota, Angelika Masek, Anna Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review |
title | Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review |
title_full | Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review |
title_fullStr | Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review |
title_full_unstemmed | Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review |
title_short | Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review |
title_sort | lifetime prediction methods for degradable polymeric materials—a short review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599543/ https://www.ncbi.nlm.nih.gov/pubmed/33053659 http://dx.doi.org/10.3390/ma13204507 |
work_keys_str_mv | AT plotaangelika lifetimepredictionmethodsfordegradablepolymericmaterialsashortreview AT masekanna lifetimepredictionmethodsfordegradablepolymericmaterialsashortreview |