Friction and scratch resistance of polyamide 6 modified with ionomeric ethylene/methacrylic acid copolymer
Bibliographic record
Abstract
Abstract Ethylene/methacrylic acid copolymer Surlyn® 9020 (SU) was used to reduce the crystallinity of polyamide 6 (PA6). Differential scanning calorimetry was used to calculate the change in crystallinity of a modified polymer: four cases of SU weight fractions (5, 15, 20, and 30%) were considered. The fracture morphology was studied by use of scanning electron microscopy. With the increasing fraction of SU the structure transformed into a fine crystalline one. The effect of reduction in crystalline fraction on friction and scratch resistance of PA6 was investigated. The static and dynamic coefficients of friction decreased with respect to the increase in weight fraction of SU. With the addition of SU, the scratch resistance was found to decrease as well, whereas the healing (i.e., recovery of material after a scratch was made) of the material was found to increase. SU hindered crystallization of PA6, and with higher content of SU plastification of material occurred. Results from thermomechanical tests confirmed that conclusion: the Young's modulus E decreases and the thermal expansion coefficient αL increases with the addition of SU. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 91: 3866–3870, 2004
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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".