Effects of glass fibers on mechanical and thermal properties of poly(3‐hydroxybutyrate‐<i>co</i>‐3‐hydroxyhexanoate)
Bibliographic record
Abstract
This study investigates the effects of glass fiber on the mechanical and thermal properties of bacterial polyester, poly(3‐hydroxybutyrate‐co‐3‐hydroxyhexanoate) (PHBH). PHBH composites were prepared by melt‐compounding and injection molding, using PHBH with 3‐hydroxyhexanoate (3HH) molar fractions of 5.6% and 11.1%, and short glass fiber content varying from 0 to 23 volume percent. Tensile test results suggested that the glass fiber addition significantly increased Young's modulus and strength of PHBH. The Halpin–Tsai and Tsai–Pagano equations were used to predict Young's modulus of PHBH composites while the modified Kelly–Tyson model with the Bowyer–Bader method were used for strength prediction. These predictions gave reasonable estimates for the mechanical properties of PHBH composites. Differential scanning calorimetry results suggested that glass fiber addition had little effect on the degree of crystallinity of PHBH, as well as on the crystallization half‐time of PHBH containing 5.6 mol% 3HH. POLYM. COMPOS., 39:491–503, 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) | 0.001 | 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) | 0.001 | 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".