Models for heat transfer in thermoplastic composites made by automated fiber placement using hot gas torch
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Bibliographic record
Abstract
This paper presents a 2D transient heat transfer model, which has been developed using finite difference method for composites made by AFP process with a hot gas torch. The model includes non-linear distributions for the hot gas/air temperature and convection coefficients in the vicinity of composite, which are essential to increase the accuracy of the model. It is necessary not to just obtain the accurate maximum temperature of composite, but more importantly, the thermal gradients in the composite laminate. These thermal gradients have strong influence on the development of residual stresses and deformation in thermoplastic laminates made by AFP. In addition, the temperature dependencies of the material properties and inter-layer thermal contact resistance have been taken into account. Comparison of the experimental and theoretical results indicates how the accuracy of model increases by considering the above mentioned aspects.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 it