<scp>HDPE</scp> crystalline lamellae in composites involving pyrolytic carbon black: Effect on elastic modulus
Bibliographic record
Abstract
Abstract In order to predict the mechanical behavior of particle reinforced polymer composites, it is crucial to study changes in polymer phase distribution upon interaction with the load in the undeformed state. In this work, HDPE composites reinforced with pyrolytic carbon black (rCBNF) particles, including some rCB modified by mild air oxidation (rCBF), which enabled the aggregation of residual chemisorbed rubber at the surface, examined in a previous work. The development of lamellar morphology induces conformational behaviors resulting from interactions fillers/polymer chains. These interactions cannot be determined by DSC alone but involve short‐range FTIR and Raman and long‐range XRD models. The Raman crystalline content of HDPE was significantly reduced by the presence rCBFs and N330, which varied with lamellar morphology. This process involves the displacement of crystalline lamellae into sublayers by nucleation and crystal growth, resulting in the release of linker molecules, limiting entanglement and improving the elastic properties of the amorphous phase. A significant amount of amorphous phase was produced with N330 and oxidized rCBFs, in which the carbon surface was free of residual rubber. Mechanical tensile tests showed an improvement in the elastic modulus of composites containing these fillers. Highlights N330 and oxidized rCBFs have surface free of the residual rubber contained in rCBNF. Significant reduction in the Raman crystallinity of HDPE with rCBF and N330. Reduction varies with lamellar size through nucleation and crystal growth. Strong release of the tie molecule improves the elastic modulus of HDPE/rCBF. Improved mechanical tensile properties of HDPE/rCBF and HDPE/N330.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 teacher head, 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".