A Viscoelastic Based Mechanism for Improving Spring-In Angle Predictions in Compression Molded Thermoplastic Matrix Composites
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Bibliographic record
Abstract
In this paper, dimensional distortion during the compression molding of thermoplastic matrix composites, typically described as spring-in or spring forward, is investigated through a finite element model. Spring-in is the reduction of the enclosed angle of two surfaces on the final component shape with respect to the original mold shape. Spring-in of thermoplastic matrix composites has typically been attributed to the difference in the thermal expansion of in-plane and through thickness directions of the composite. However, using this mechanism alone during modeling has not shown complete agreement with the experimental data. A new meso-level mechanism based on the viscoelasticity effect of the thermoplastic matrix is proposed. With this mechanism, the predicted spring-in angle can be in good agreement with experiments.
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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 | 0.000 | 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 it