Processing and properties of PLA/thermoplastic starch/montmorillonite nanocomposites
Bibliographic record
Abstract
Abstract Thermoplastic starch (TPS) and polylactic acid (PLA) were compounded with natural montmorillonite (MMT) using a twin‐screw extrusion process to investigate the structure and properties of these nanocomposites and to examine the use of water to enhance clay exfoliation. Tensile and essential work of fracture measurements were performed on standard dumbbell shape samples and on double notched samples to determine the effect of MMT and PLA/TPS interfacial modification on the mechanical and fracture properties of the materials. The nanocomposite structure was investigated using X‐Ray diffraction, transmission electron microscopy, and atomic force microscopy. Differential scanning calorimetric analysis was performed on the materials to determine the effect of TPS and MMT on PLA crystallization and physical aging. It was found that the TPS can intercalate the clay structure and that the clay was preferentially located in the TPS phase or at the blend interface. This led to an improvement in tensile modulus and strength and to a reduction in fracture toughness. POLYM. COMPOS., 2010. © 2009 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) | 0.000 | 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".