Supramolecular topological adhesion boosts delamination resistance in carbon fiber reinforced polymers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this study, we introduce supramolecular topological adhesion as an innovative and effective methodology to enhance interlaminar fracture toughness in carbon fiber reinforced polymers (CFRPs). We achieved remarkable improvements in delamination resistance by physically entangling phenoxy resins within an epoxy matrix and introducing sacrificial H-bond interactions via ODIN (1-(7-Oxo-7,8-Dihydro-1,8-Naphthyridin-2-yl)urea) units. The ODIN units form sextuple H-bonding dimers in the cured epoxy matrix among plies, experimentally quantified via UV-Vis spectroscopy, whose detachment hinders crack propagation. The viability of this approach was tested using various phenoxy resins with different molecular weights and with different levels of ODIN functionalization. Single lap shear (SLS) tests demonstrated a notable increase in adhesion strength, sorting out PKHB-ODIN 13% as the best candidate as interlaminar adherent. Delamination resistance was determined through double cantilever beam (DCB) and end-notched flexure (ENF) tests, showing up to 120% and 80% increases in Mode I and Mode II fracture toughness, respectively. The limited DCB and ENF test increments observed for control adherent PKHB-PU 23% functionalized with phenylurea (PU) groups, demonstrates that the strength of topological H-bonding is pivotal to boost delamination resistance. The results indicate that this method holds great potential for improving the durability of CFRP composites, especially in applications requiring high resistance to delamination.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it