Dielectric parameter independent curing analysis of out-of-autoclave carbon fibre/epoxy composites
Article
Hall, Molly, Zeng, Xuesen, Shelley, Tristan and Schubel, Peter. 2023. "Dielectric parameter independent curing analysis of out-of-autoclave carbon fibre/epoxy composites." Composites Part A: Applied Science and Manufacturing. 175. https://doi.org/10.1016/j.compositesa.2023.107755
| Article Title | Dielectric parameter independent curing analysis of out-of-autoclave carbon fibre/epoxy composites |
|---|---|
| ERA Journal ID | 4882 |
| Article Category | Article |
| Authors | Hall, Molly, Zeng, Xuesen, Shelley, Tristan and Schubel, Peter |
| Journal Title | Composites Part A: Applied Science and Manufacturing |
| Journal Citation | 175 |
| Article Number | 107755 |
| Number of Pages | 13 |
| Year | 2023 |
| Publisher | Elsevier |
| Place of Publication | United Kingdom |
| ISSN | 1359-835X |
| 1878-5840 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.compositesa.2023.107755 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S1359835X23003317 |
| Abstract | Due to their capability to evaluate the microscopic mobility of polymers, dielectric sensors are increasingly used for in-situ cure monitoring of thermoset composites. More than a dozen cure correlation methods have been proposed in literature to date, each of which focuses on a specific dielectric parameter. However, the wide variety of techniques have not been compared nor robustly evaluated for accuracy and repeatability. This study collects dielectric signal data (dissipation factor, impedance, ionic conductivity/viscosity, loss factor, and permittivity) during cure of an out-of-autoclave thermoset prepreg and conducts a systematic evaluation of the five dielectric parameters to prove that the parameters can be used interchangeably and, in some cases, can deliver complementary information. By correlating features of dielectric graphs to both experimentally measured and numerically simulated cure state events, a master list of correlation techniques is presented. The proposed techniques have improved accuracy and repeatability in comparison to the existing analysis techniques. |
| Keywords | A. Thermosetting resin; B. Cure behaviour ; B. Electrical properties ; Dielectric sensors |
| Related Output | |
| Is part of | Through-thickness dielectric sensing for thermoset composite cure analysis and process validation |
| ANZSRC Field of Research 2020 | 401408. Manufacturing processes and technologies (excl. textiles) |
| Public Notes | This article is part of a UniSQ Thesis by publication. See Related Output. |
| Byline Affiliations | Centre for Future Materials |
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