Cargando…

Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment

Carbon fiber-reinforced shape memory polymer composites (CF-SMPCs) have been researched as a potential next-generation material for aerospace application, due to their lightweight and self-deployable properties. To this end, the mechanical properties of CF-SMPCs, including long-term durability, must...

Descripción completa

Detalles Bibliográficos
Autores principales: Jang, Joon-Hyeok, Hong, Seok-Bin, Kim, Jin-Gyun, Goo, Nam-Seo, Yu, Woong-Ryeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156318/
https://www.ncbi.nlm.nih.gov/pubmed/34067909
http://dx.doi.org/10.3390/polym13101628
_version_ 1783699416793743360
author Jang, Joon-Hyeok
Hong, Seok-Bin
Kim, Jin-Gyun
Goo, Nam-Seo
Yu, Woong-Ryeol
author_facet Jang, Joon-Hyeok
Hong, Seok-Bin
Kim, Jin-Gyun
Goo, Nam-Seo
Yu, Woong-Ryeol
author_sort Jang, Joon-Hyeok
collection PubMed
description Carbon fiber-reinforced shape memory polymer composites (CF-SMPCs) have been researched as a potential next-generation material for aerospace application, due to their lightweight and self-deployable properties. To this end, the mechanical properties of CF-SMPCs, including long-term durability, must be characterized in aerospace environments. In this study, the storage modulus of CF-SMPCs was investigated in a simulation of a low Earth orbit (LEO) environment involving three harsh conditions: high vacuum, and atomic oxygen (AO) and ultraviolet (UV) light exposure. CF-SMPCs in a LEO environment degrade over time due to temperature extremes and matrix erosion by AO. The opposite behavior was observed in our experiments, due to crosslinking induced by AO and UV light exposure in the LEO environment. The effects of the three harsh conditions on the properties of CF-SMPCs were characterized individually, using accelerated tests conducted at various temperatures in a space environment chamber, and were then combined using the time–temperature superposition principle. The long-term mechanical behavior of CF-SMPCs in the LEO environment was then predicted by the linear product of the shift factors obtained from the three accelerated tests. The results also indicated only a slight change in the shape memory performance of the CF-SMPCs.
format Online
Article
Text
id pubmed-8156318
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81563182021-05-28 Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment Jang, Joon-Hyeok Hong, Seok-Bin Kim, Jin-Gyun Goo, Nam-Seo Yu, Woong-Ryeol Polymers (Basel) Article Carbon fiber-reinforced shape memory polymer composites (CF-SMPCs) have been researched as a potential next-generation material for aerospace application, due to their lightweight and self-deployable properties. To this end, the mechanical properties of CF-SMPCs, including long-term durability, must be characterized in aerospace environments. In this study, the storage modulus of CF-SMPCs was investigated in a simulation of a low Earth orbit (LEO) environment involving three harsh conditions: high vacuum, and atomic oxygen (AO) and ultraviolet (UV) light exposure. CF-SMPCs in a LEO environment degrade over time due to temperature extremes and matrix erosion by AO. The opposite behavior was observed in our experiments, due to crosslinking induced by AO and UV light exposure in the LEO environment. The effects of the three harsh conditions on the properties of CF-SMPCs were characterized individually, using accelerated tests conducted at various temperatures in a space environment chamber, and were then combined using the time–temperature superposition principle. The long-term mechanical behavior of CF-SMPCs in the LEO environment was then predicted by the linear product of the shift factors obtained from the three accelerated tests. The results also indicated only a slight change in the shape memory performance of the CF-SMPCs. MDPI 2021-05-17 /pmc/articles/PMC8156318/ /pubmed/34067909 http://dx.doi.org/10.3390/polym13101628 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jang, Joon-Hyeok
Hong, Seok-Bin
Kim, Jin-Gyun
Goo, Nam-Seo
Yu, Woong-Ryeol
Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment
title Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment
title_full Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment
title_fullStr Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment
title_full_unstemmed Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment
title_short Accelerated Testing Method for Predicting Long-Term Properties of Carbon Fiber-Reinforced Shape Memory Polymer Composites in a Low Earth Orbit Environment
title_sort accelerated testing method for predicting long-term properties of carbon fiber-reinforced shape memory polymer composites in a low earth orbit environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156318/
https://www.ncbi.nlm.nih.gov/pubmed/34067909
http://dx.doi.org/10.3390/polym13101628
work_keys_str_mv AT jangjoonhyeok acceleratedtestingmethodforpredictinglongtermpropertiesofcarbonfiberreinforcedshapememorypolymercompositesinalowearthorbitenvironment
AT hongseokbin acceleratedtestingmethodforpredictinglongtermpropertiesofcarbonfiberreinforcedshapememorypolymercompositesinalowearthorbitenvironment
AT kimjingyun acceleratedtestingmethodforpredictinglongtermpropertiesofcarbonfiberreinforcedshapememorypolymercompositesinalowearthorbitenvironment
AT goonamseo acceleratedtestingmethodforpredictinglongtermpropertiesofcarbonfiberreinforcedshapememorypolymercompositesinalowearthorbitenvironment
AT yuwoongryeol acceleratedtestingmethodforpredictinglongtermpropertiesofcarbonfiberreinforcedshapememorypolymercompositesinalowearthorbitenvironment