Research on Ammonium Polyphosphate/Aluminum Hydroxide/Methyl Vinyl Silicone Rubber (APP/ATH/MVQ) Flame Retardant Composites
Bibliographic record
Abstract
The ammonium polyphosphate/aluminum hydroxide/methyl vinyl silicone rubber(APP/ATH/MVQ) flame retardant composites were prepared by single APP,ATH,and APP/ATH hybrid fillers,respectively.The effect of the content and the combination-pattern of different fillers on the flame retardancy,mechanical and dielectric properties of the APP/ATH/MVQ composites was discussed.The results showed that the flame retardancy was improved with increasing the content of the flame retardant fillers.And the flame retardancy of the composites filled with APP/ATH hybrid fillers had better flame retardancy than that of the composites filled with single APP or ATH.The Shore A hardness,dielectric constant,and dielectric dissipation factor were all improved with increasing the content of the APP/ATH hybrid fillers.However,the tensile strength and elongation at break were decreased.With the total amount of APP/ATH(mass fraction was 3∶ 2) of 80,the oxygen index(OI) of the rubber was 44%,and the tensile strength,elongation at break,Shore A hardness,dielectric constant and dielectric dissipation factor were 6.8 MPa,438%,62,3.92,249%,respectively.
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.
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".