Adhesion of Fibers to Natural Rubber Elastomer using Ring-Opening Metathesis Polymerization (ROMP)
Bibliographic record
Abstract
Ring-opening metathesis polymerization is used to investigate adhesion of multifilament fibers (polyester, nylon, Kevlar®) to a natural rubber elastomer through the creation of ROMP polymer coatings on the fiber surfaces followed by encapsulation in pre-cured elastomer. Polymer coated fibers are prepared by 1) physisorption of polynorbornenes which are prepared by solution-phase ROMP and 2) contact metathesis polymerization (CMP) whereby Grubbs' 1st generation catalyst 1 is applied directly to the fiber surface followed by passage of the “activated” fiber through a norbornene monomer bath. Both methods improve adhesion to the elastomer when compared to uncoated control specimens. Catalyst and polymer loading are briefly examined. Although inconclusive, our findings suggest that polymer loading and substrate specificity may affect overall adhesion. ROMP is enabling chemistry for creating an interface to improve fiber adhesion to natural rubber elastomers. Formulated commercial adhesive systems are also included in this study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".