Morphological, thermal, mechanical, and rheological properties of high density polyethylene reinforced with Illite clay
Bibliographic record
Abstract
In this work, Illite (natural Moroccan clay) was selected to reinforce high density polyethylene (HDPE) and to determine the efficiency of styrene‐(ethylene‐butene)‐styrene triblock copolymer grafted with maleic anhydride (SEBS‐ g ‐MA) as a coupling agent. The composites were prepared by extrusion followed by injection molding of various clay contents (5–40 wt%). From the samples produced, the morphological, thermal, mechanical, and rheological properties were measured. The results showed that interfacial adhesion was improved with coupling agent addition leading to increased Young's modulus, as well as higher tensile strength, and strain at yield. Nevertheless, the maximum value for the composites without SEBS‐ g ‐MA (57% modulus increase) was obtained at 20 wt% compared to 15 wt% for the composites with SEBS‐ g ‐MA (45% modulus increase). The thermal stability of the composites also increased with clay content, especially when the coupling agent was added. Finally, water absorption tests revealed that the composites have a higher tendency to absorb water with increasing clay content, but the use of a coupling agent substantially reduced this problem. POLYM. COMPOS., 39:1522–1533, 2018. © 2016 Society of Plastics Engineers
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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) | 0.000 | 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 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".