Visual Studies of Model Foam Development for Rotational Molding Processes
Bibliographic record
Abstract
Abstract This work explores the foam development process under atmospheric pressure as applicable to rotational molding, investigating the influence of the processing parameters, and characterizing the morphology of the foamed structure. Detailed understanding of the bubble transformation during foaming of nonpressurized polymer melts provided an accurate basis for predicting the morphological structure and macroscopic properties of foams produced by rotational molding. The experimental results are based on visualization studies using a hot stage microscopy setup. The cellular structure developed during the foaming was analyzed for its bubble density, bubble size, and statistical parameters considering the combined effect of these two factors. It was found during this investigation that the foaming mechanism comprises four distinct stages. It included two major stages of bubble nucleation, primary nucleation in interstitial regions, and secondary nucleation in the polymer melt. Statistical analysis of the developing foamed structure revealed that primary nucleation in the interstitial regions was the controlling stage in determining the final cellular structure. Subsequently, the nucleation stages were followed by bubble growth and bubble coalescence/shrinkage. The microscopic observations were complemented by actual rotational foam molding experiments. © 2012 Wiley Periodicals, Inc. Adv Polym Techn 32: E809–E821, 2013; View this article online at wileyonlinelibrary.com . DOI 10.1002/adv.21323
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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) | 0.000 | 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) | 0.002 | 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".