Two dimensional long‐flexible fiber orientation simulation in squeeze flow
Bibliographic record
Abstract
Long‐flexible fiber orientation under the influence of a squeeze flow field is an important engineering problem. Fiber orientation models have been constructed for a short fiber in simple shear. This article uses the long fiber model previously proposed by the authors (Meirson and Hrymak, Polymer Composites, 37, 2425 (2015)). This new model accounts for flow velocity gradient along the fiber and allows the fiber to exhibit flexibility. In this study, this model is applied to solve a two‐dimensional squeeze flow case that approximates compression molding flow. It was found that unlike the simple shear flow case in the squeeze flow case the relative dimensions of the system has a great effect on fiber orientation. In addition, several rules of thumb for compression molding are proposed from the results. POLYM. COMPOS., 39:4656–4665, 2018. © 2017 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".