Cure Kinetics of Hexcel W3T282-42/F155 Graphite/Epoxy Prepreg
Bibliographic record
Abstract
In this work, differential scanning calorimetry (DSC) in dynamic and isothermal modes is used to develop a cure kinetics model for the graphite/epoxy prepreg Hexcel W3T282-42/F155.The evolution of heat from the composite system was measured from dynamic DSC scans and the total heat of reaction of the system calculated.Isothermal heat flow measurements were then taken at different constant temperatures, and the isothermal heat of reaction, the rate of cure, and the degree of cure were calculated as a function of time for each temperature.A variety of different cure kinetics models proposed in the literature were examined in order to develop an expression for resin cure rate as a function of degree of cure and temperature.Best results were obtained by using a semi-empirical equation in which the maximum achievable degree of cure was considered to be temperature dependent.A least squares technique based on the Levenberg-Marquardt algorithm was used for curve fitting.Very good agreement between experimental measurements and model results was observed.
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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".