A numerical investigation of the use of novel melt processed PET‐hemp fiber composites for thermoforming applications
Bibliographic record
Abstract
The mechanical and structural properties of five formulations of a novel melt processed poly‐ethylene terephthalate (PET)‐hemp fibers composite were determined, followed by a numerical investigation of their thermoformability using the ThermoForm ® code. The composites' linear viscoelastic properties were determined by small amplitude oscillatory shear tests and their viscoelastic behavior characterized by the Christensen's model. The forming pressure load required by the numerical analysis was derived from the Redlich–Kwong's real gas equation of state. The air flow's influence on the thickness of the thermoformed part, as well as the stress and the energy required for the process were analyzed. Our observations indicate little influence of the constitutive equations of the investigated formulations on the final thickness distribution of the thermoformed part; moreover, the time and energy required for the process showed no clear variation with the fiber load. POLYM. ENG. SCI. 56:1021–1030, 2016. © 2016 Society of Plastics Engineers
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".