Parameters Influencing Moisture Diffusion in Epoxy-Based Materials during Hygrothermal Ageing-A Review by Statistical
Camille Gillet1,2, Ferhat Tamssaouet3, Bouchra Hassoune-Rhabbour1
1Laboratoire Génie de Production, INP-ENIT, Université de Toulouse, 47 Av. d'Azereix, 65000 Tarbes, France.
Polymers
|July 27, 2022
Summary
This study statistically analyzes hygrothermal ageing models for epoxy composites. It confirms known parameter correlations and reveals model limitations for certain materials, guiding future research.
Area of Science:
- Materials Science
- Polymer Chemistry
- Composite Materials Engineering
Background:
- Hygrothermal ageing significantly impacts epoxy resins and composites.
- Existing literature extensively models material diffusion behavior using Fick, Dual-Fick, and Carter and Kibler models.
- Numerous parameters influencing these models have been identified, with debated correlations.
Purpose of the Study:
- To statistically validate or refute existing parameter correlations in hygrothermal ageing models.
- To identify novel correlations among model parameters.
- To determine the most critical parameters for studying epoxy composite ageing.
Main Methods:
- Statistical analysis of data extracted from published literature on epoxy composite hygrothermal ageing.
- Application of Box Plot and Principal Component Analysis (PCA) for data interpretation.
- Focus on parameters within Fick, Dual-Fick, and Carter and Kibler diffusion models.
Main Results:
- Confirmed previously reported correlations for quantitative variables.
- Identified significant differences based on qualitative parameters, suggesting model-material specific behaviors.
- Highlighted potential inappropriateness of current models for certain epoxy composite materials.
Conclusions:
- Statistical analysis supports the importance of certain parameters in hygrothermal ageing models.
- Model suitability may vary depending on the specific epoxy composite material and ageing conditions.
- Further investigation is needed to refine or develop new models for accurate prediction of composite degradation.
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