Extensional flow mixer for polymer nanocomposites
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
Abstract The extensional flow mixer (EFM) has been used in industry, for e.g., homogenization of reactor products, polymer blending, incorporation of plasticizer, etc. Recently, several laboratories attempted to use EFM for dispersing organoclay in a molten polymer. Thus, usually EFM was mounted on a twin‐screw extruder equipped with a gear pump. The use of EFM resulted in improved dispersion and performance—more significant in polyamide or thermoplastic polyester—and marginal in a polyolefin or polystyrene. Recently, to improve EFM efficiency, the commercial EFM‐3 was modified by redesigning the convergent–divergent plates that engender the extensional flow. The two mixers, EFM‐3 and the new EFM‐N, were evaluated using a single‐screw extruder. Two systems were examined: (1) polyamide‐6 (PA‐6) with Cloisite®‐15A (C15A) and (2) polypropylene with maleated‐PP and C15A. The compounded samples were injection‐molded, and then tested for the degree of dispersion and mechanical performance. The results showed superiority of EFM‐N. Compounding PA‐6 with C15A in a single‐screw extruder with EFM‐N exfoliated the organoclay, producing polymeric nanocomposites with high performance, comparable or better than that of a commercial nanocomposite produced by polycondensation of ϵ‐caprolactam in the presence of clay, preintercalated with reactive cations. POLYM. ENG. SCI. 46:1040–1050, 2006. © 2006 Society of Plastics Engineers
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) | 0.000 | 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 it