Effect of addition of nanoclays on properties of vinyl ester
Bibliographic record
Abstract
Vinyl ester resins have been used in many engineering applications such as matrix for composites used in ships, chemical reservoirs, pipes etc. It is desirable to enhance a few important properties of the resin such as flammability resistance, water absorption resistance, and fracture toughness. The addition of nanoclays has been shown to enhance these properties of epoxy resins. The work in this project is to investigate the effect of adding nanoclays on these properties of vinyl ester. Commercial vinyl esters usually contain styrene, which serves both as a diluent and a crosslinking agent. The presence of styrene complicates the incorporation of clays into the vinyl ester. As such two types of vinyl ester were used. One is commercial vinyl ester (Derakane 411- 350) which contains styrene, and the other is vinyl ester synthesized in the laboratory, which is kept free of styrene during the clay incorporation. Different types of clays were examined. Different methods of mixing the clays in the vinyl ester were investigated. The results show that among the different clays, composites made using vinyl ester and Cloisite 20A show better performance. If the mixing conditions are right, there is significant improvement in fracture toughness. However there is some reduction in flexural strength upon the addition of the clays.
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How this classification was reachedexpand
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) | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".