Scratch Resistance and Impact Strength of Semi Interpenetrating Networked PMMA and PU with<i> In Situ</i> Produced Silica
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The scratch damage resistance and impact strength of PMMA sheets are necessary factors that have to be concerned by manufacturers. The aim of this work is to investigate the influences of silica (Si) from tetraethoxysilane on scratch damage resistance of the sheet surfaces for optical applications. The polymeric composites including PMMA, polyurethane (PU) and Si were produced via a bulk polymerization in a casting process. The technique creates semi-interpenetrating polymer networks (IPNs) between PMMA and PU. The percentage of IPNs and surface morphology of the composite sheets were observed. Furthermore, scratch resistance, impact strength, ultraviolet and thermal degradations of PMMA-PU-Si sheets were measured and compared with those of neat PMMA-PU sheets. The results revealed that the optimal Si amount (0.039 phr) provided 2B of the scratch resistance (2B of pencil range). This composite formula gave the highest impact values of 24.27 kJ/m 2 for an Izod type and 24.94 kJ/m 2 for a Charpy type. Composite sheets showed increases in ultraviolet and heat resistance by increasing the content of Si. However, the PMMA-PU-Si sheets were useable at temperature lower than 180 ⁰ C.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it