A parametric numerical study for the processing of highly reactive thermoset resins for liquid moulding applications
Why this work is in the frame
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Bibliographic record
Abstract
This study explores part geometrical deviations with manufacturing strategies for composite materials, focusing on highly reactive thermoset resins processed through Resin Transfer Moulding (RTM). A simulation framework that integrates the filling stage and stress-deformation analysis using a thermo-viscoelastic (TVE) model was developed to improve the understanding of material behaviour and its impact on part quality. The influence of key process parameters, including process temperature, nominal injection pressure, number of plies, and ply stacking sequence, was investigated for part geometrical deviations. The results show that the ply stacking sequence and the number of plies are the most significant factors affecting part geometrical deviation. In contrast, process temperature and injection pressure had only a minor effect. This work demonstrates the potential of the proposed simulation approach as a reliable tool for guiding experimental implementation and improving part quality when using highly reactive thermosets.
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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 | 0.001 | 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 it