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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/13/20/4507 |
| _version_ | 1797551278171095040 |
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| author | Angelika Plota Anna Masek |
| author_facet | Angelika Plota Anna Masek |
| author_sort | Angelika Plota |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T15:42:17Z |
| format | Article |
| id | doaj.art-5477e565611e4949bdf750f2ee65e423 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-10T15:42:17Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-5477e565611e4949bdf750f2ee65e4232023-11-20T16:41:11ZengMDPI AGMaterials1996-19442020-10-011320450710.3390/ma13204507Lifetime Prediction Methods for Degradable Polymeric Materials—A Short ReviewAngelika Plota0Anna Masek1Institute of Polymer and Dye Technology, Faculty of Chemistry, Lodz University of Technology, Stefanowskiego 12/16, 90-924 Lodz, PolandInstitute of Polymer and Dye Technology, Faculty of Chemistry, Lodz University of Technology, Stefanowskiego 12/16, 90-924 Lodz, PolandThe 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.https://www.mdpi.com/1996-1944/13/20/4507lifetimedegradationaccelerated agingpolymerkinetic modelsthermal analysis |
| spellingShingle | Angelika Plota Anna Masek Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review Materials lifetime degradation accelerated aging polymer kinetic models thermal analysis |
| 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 | lifetime degradation accelerated aging polymer kinetic models thermal analysis |
| url | https://www.mdpi.com/1996-1944/13/20/4507 |
| work_keys_str_mv | AT angelikaplota lifetimepredictionmethodsfordegradablepolymericmaterialsashortreview AT annamasek lifetimepredictionmethodsfordegradablepolymericmaterialsashortreview |