Environmentally Friendly and Zero-Formamide EVA/LDPE Microcellular Foams via Supercritical Carbon Dioxide Solid Foaming
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Elastomeric polyolefin foams with excellent mechanical properties, environmentally friendly performance, and cost effectiveness are highly promising. Nevertheless, it is a huge challenge to obtain these advantages in elastomeric polyolefin foams using chemical or common physical blowing agents. Therefore, a strategy was applied to the ethylene–vinyl acetate copolymer (EVA)/low-density polyethylene (LDPE) (EVA/LDPE) system by combining crosslinking, microphase separation, crystallization, and supercritical CO2 (scCO2) solid foaming. Consequently, environmentally friendly EVA/LDPE foams of zero formamide with the desired uniform cellular structure of expansion ratio over 8, average cell size less than 50 μm, and cell density over 109 #/cm3 were obtained. The lightweight EVA/LDPE foams show excellent tensile strength and compression strength, much higher than those of other elastomeric polyolefin foams. The reasons for this are that (1) the introduction of crosslinking and entanglement structures in EVA enhances the viscoelasticity, which is beneficial to bubble nucleation and bubble stability in the foam, and simultaneously improves the mechanical properties of the foam; (2) the existence of LDPE segments in EVA leads to microphase separation, which is beneficial to bubble nucleation; (3) low-temperature solid foaming enhances the mechanical properties of the foam due to the uniform microcellular structure; and (4) scCO2 foaming has zero formamide, which meets the safety requirements and specifications of children’s floor mats (T/CTJPA 005-2018).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 |
| 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 it