Modeling of Thermoforming of Low-density Glass Mat Thermoplastic
Bibliographic record
Abstract
The glass mat thermoplastic (GMT) is made from random-chopped glass fibers and polypropylene in a sheet form. This low-density compressible material is used extensively in the automotive industry for making panels. The mechanical behavior of this material in large deformation and at thermoforming process temperature is far from being well understood. The objective of this research is to determine a constitutive law of this Azdel thermoplastic composite used for thermoforming process. A series of biaxial tests was performed to study the stress-strain behavior of the low-density thermoplastic sheet reinforced with 55% glass fiber. Different strain rates and temperatures were employed to study their effects on the mechanical behavior. Pressure-thickness model parameters were obtained using a laboratory press. A nonisothermal hyperelastic model was used for modeling this material. The results of the simulation are compared with data from a laboratory thermoforming machine and a small, simple mold.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".