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https://doi.org/10.15480/882.4973
Publisher DOI: | 10.1016/j.polymertesting.2022.107901 | Title: | Time, temperature and water aging failure envelope of thermoset polymers | Language: | English | Authors: | Gibhardt, Dennis Krauklis, Andrey E. Doblies, Audrius Gagani, Abedin I. Sabalina, Alisa Starkova, Olesja Fiedler, Bodo ![]() |
Keywords: | Accelerated testing; Composite; Creep; Strength; Thermo-mechanical behavior | Issue Date: | 10-Dec-2022 | Publisher: | Elsevier Science | Source: | Polymer Testing 118: 107901 (2023) | Abstract (english): | Epoxies and epoxy-based fiber reinforced polymers (FRP) are significantly affected by environmental impacts during their service life. Exposures to water, humidity, temperature and UV radiation are known to substantially influence the (thermo-) mechanical properties and durability of the materials. Design-relevant characteristics like strength, stiffness, or the glass transition temperature change with time. Therefore, expensive test campaigns are often necessary in advance of a structural design. Prediction models based on physical relations or phenomenological observations are typically required to reduce costs and increase reliability. Consequently, a combined methodology for fast prediction of long-term properties and accelerated aging purposes is presented in this work for a common DGEBA-based epoxy. Therefore, master curves are obtained by creep and constant-strain-rate tests under temperature and moisture impact. A combined time–temperature–water superposition and the Larson–Miller parametrization demonstrate that time-saving CSR tests and modeling can replace long-lasting creep testing. Resulting, the presented methodology allows to determine a polymer's entire (environmental) failure envelope in a relatively short time and with low testing effort. |
URI: | http://hdl.handle.net/11420/14429 | DOI: | 10.15480/882.4973 | ISSN: | 0142-9418 | Journal: | Polymer testing | Institute: | Kunststoffe und Verbundwerkstoffe M-11 | Document Type: | Article | Project: | Modelling Toolbox for Predicting Long- Term Performance of Structural Polymer Composites under Synergistic Environmental Ageing Condition | Funded by: | European Regional Development Fund | License: | ![]() |
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