Rheological, Mechanical, and thermal properties of polylactide/cellulose nanofiber biocomposites
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
Biocomposites based on polylactide (PLA) and cellulose nanofibers (CNFs) were prepared via a solution method. The effects of CNFs on rheological, mechanical, thermal, and optical properties of PLA were investigated. Scanning electron microscopy showed that the CNFs were fairly dispersed/distributed in the PLA. Significant increases in the rheological properties of PLA/CNF composites and a remarkable shear‐thinning behavior were observed. Also, apparent yield stress and a transition from liquid‐ to solid‐like behavior indicated a strong 3D network of CNFs. At room temperature, the storage and Young moduli were increased by 50% for the composite containing 5 wt% CNFs as compared to the neat PLA, whereas the tensile strength was increased up to 31%. The Krenchel model was shown to predict well the Young modulus for lower concentrations of CNFs. Moreover, relative to the neat PLA the storage modulus in flexion at 70°C increased by 264% for PLA containing 5 wt% CNFs. Increased crystalline content and a positive shift of the crystallization temperature by incorporating the CNFs in PLA were observed. Also, good light transparency was retained for these PLA/CNF biocomposites. These results show that the preparation method employed in this work leads to PLA/CNF composites with considerably enhanced properties. POLYM. COMPOS., 39:1752–1762, 2018. © 2016 Society of Plastics Engineers
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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