Thermally-Degradable Thermoset Adhesive Based on a Cellulose Nanocrystals/Epoxy Nanocomposite
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
For high-value components, reusability is often an important design consideration. For adhesively joined parts, the disassembly mechanism can be a key factor, and in some cases the thermal degradability of adhesives determines the reusability and recyclability of the components. After use, components that can be easily separated are generally more easily reused, but this requires controlled and well-understood adhesive degradation. Here, polymer nanocomposites based on epoxy resin and cellulose nanocrystals (CNCs) were fabricated, and their properties were examined as degradable adhesives. The distribution of CNCs within the epoxy resin was investigated by electron microscopy and mass spectroscopy. By incorporating CNCs into epoxy matrices, the shear strength of nanocomposites was improved by 31% and the effective thermal degradation temperature was reduced by 40 °C. Additionally, chemical analysis by X-ray photoelectron spectroscopy showed that sulfonate groups on the surface of CNCs play a critical role over improving the mechanical properties, while thermally induced breakage of these bonds mediates the thermal degradation of the nanocomposite.
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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