Mechanical and morphological properties of cellulose biocomposites
Bibliographic record
Abstract
Natural biocomposites offer promising alternatives to petroleum-based composites thanks to their biocompatibility, sustainability, and low environmental impact. However, they must also demonstrate competitive mechanical properties and adaptability to manufacturing processes. To this end, we developed cellulosic biocomposites using plasticized cellulose acetate (PCA) reinforced with cellulosic fibers at loadings from 30 to 50 wt%. Mechanical properties were determined with tensile, bending, and impact tests and interfacial bonding was analyzed using scanning electron microscopy (SEM). Results showed that the adhesion of 50 wt% cellulose fibers increased the Young's modulus of the biocomposites by 300 % and the tensile strength by 12 %. Flexural properties also improved: the flexural modulus increased from 1.52 GPa to 5 GPa for PCA at maximum fiber loading, and from 43.3 MPa to 54 MPa for flexural strength. However, the elongation at break decreased with increasing cellulose content, from 13.5 % to 0.8 %, along with a 74 % decrease in impact strength. SEM results revealed good fiber dispersion, interfacial adhesion, porosity, and fiber pullout. These results underscore the potential for cellulose biocomposites as eco-friendly alternatives for high-value utilizations, including electronic and dielectric applications. • PCA-Cellulose BC exhibited high tensile and flexural properties. • Cellulose fibers reduced the ductility and toughness of PCA BC. • Cellulose fibers showed good dispersion and interfacial adhesion in PCA BC. • The good interfacial adhesion explained the improved strength of PCA-cellulose R1BC.
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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) | 0.000 | 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 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".