Asymmetric microcellular composites: Morphological properties
Bibliographic record
Abstract
Asymmetric microcellular composites were prepared by injection molding to study the effects of temperature gradient inside the mold (0 to 60℃) as well as blowing agent (0 to 1%) and natural fibers (0 to 30%) contents. High-density polyethylene, flax fiber, and azodicarbonamide were used as the matrix, reinforcement, and chemical blowing agent, respectively. From the samples produced, a complete morphological characterization was performed. As expected, cell size, cell density, and skin and core thicknesses were affected by blowing agent and natural fiber contents and mold temperatures. It was found that a better microcellular asymmetric structure was obtained with higher fiber and blowing agent contents and higher average mold temperature. From the data obtained, a simple mathematical model was used to fit the relative density of asymmetric foams to include skin, core, and transition zone thicknesses.
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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 | 0.000 |
| 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) | 0.001 | 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 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".