Influence of monomeric and polymeric structure on the physical properties of thermoplastic polyesters derived from hydroxy fatty acids
Bibliographic record
Abstract
The physical properties of three vegetable oil derived medium and long chain poly(ω‐hydroxy fatty ester)s (P(Me‐ω‐OHFA)s), namely poly(ω‐hydroxynonanoate) [P(Me‐ω‐OHC9)], poly(ω‐hydroxytridecanoate) [P(Me‐ω‐OHC13)] and poly(ω‐hydroxyoctadecanoate) [P(Me‐ω‐OHC18)] (n = 8, 12 and 17, respectively), of the [−(CH2)n−COO–]x polyester homologous series are presented. The effect of Mn (Mn 10–40 kg mol−1) and n on the crystal structure and thermal and mechanical properties of the P(Me‐ω‐OHFA)s were investigated by wide‐angle X‐ray diffraction (WAXD), TGA, DSC, dynamic mechanical analysis (DMA) and tensile analysis and are discussed in the context of the [−(CH2)n−COO–]x polyester homologous series, contrasted with linear polyethylene (PE). For all P(Me‐ω‐OHFA)s the WAXD data indicated an orthorhombic crystal phase reminiscent of linear PE with crystallinity (Xc = 50%−80%) depending strongly on Mn. The glass transition temperature and Young's modulus for P(Me‐ω‐OHFA)s increased with Xc. The DSC, DMA and TGA studies for P(Me‐ω‐OHFA)s (n = 8, 12 and 17) indicated strong correlations between the melting, glass transition and thermal degradation behavior and n. The established predictive structure relationships can be used for the custom engineering of polyester materials suitable for specialty and commodity applications. © 2014 Society of Chemical Industry
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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 | 0.001 |
| 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) | 0.001 | 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".