Mechanical and morphological properties of cellulose nanocrystal‐polypropylene composites
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
In this work, the rheological, mechanical, morphological, and thermal properties of cellulose nanocrystal (CNC)‐polypropylene (PP) composites prepared in the molten state were investigated. All samples contained a maleated PP used as combatibilizer. Degradation of the PP in the presence of CNCs at high processing temperature was shown to have a significant effect on the rheological behavior. For PPs with two different molecular weights and prepared at different temperatures, the tensile modulus of composites containing 2 wt% CNC was improved by about 30% and the tensile strength was increased up to 16%, in comparison with the unfilled matrices. The tensile strain at break of composites decreased by 17% up to 75% with respect to the matrix, depending on the processing conditions and PP used. Preparing the low molecular weight PP composites via twin‐screw extrusion was shown to be more efficient than using an internal batch mixer. The tensile modulus of the PP/CNC composites could be fairly well described by a model proposed by Nielsen based on the Halpin‐Tsai equation. Finally, properties of the PP/CNC composites have been compared to those of a PP reinforced with flax fibers and a PP filled with nanoclay. POLYM. COMPOS., 39:3605–3617, 2018. © 2017 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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