Moisture‐induced anti‐plasticization of polylactic acid: Experiments and modeling
Bibliographic record
Abstract
Abstract Polylactic acid (PLA) is a biodegradable polymer derived from bio‐renewable resources. The effect of diffused water molecules on the mechanical properties of PLA, before the onset of hydrolytic degradation, has been rarely studied. In this work, PLA fibers produced by melt‐extrusion were conditioned in chambers with different levels of relative humidity (36%, 75%, and 98%), as well as immersed in distilled water. Creep tests were conducted on dry and conditioned samples and creep compliances were extracted. With the increase of moisture content, the decrease in instantaneous elastic compliance, as well as the more flattened curves in the last stage of the creep tests, indicates the existence of water‐bridge‐anti‐plasticization effect. The modified Burgers‐Reimschuessel model developed in our previous work is found to be able to predict the effect of absorbed moisture on the viscoelasticity of PLA. The present work highlights the importance of considering the moisture's anti‐plasticization effect. The proposed methodology can be adopted to evaluate the effect of moisture on the viscoelasticity of PLA for different applications.
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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) | 0.000 | 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 | 0.001 | 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".