Effect of nylon 6 ( <scp>PA</scp> 6) addition on the properties of glass fiber reinforced acrylonitrile‐butadiene‐styrene
Bibliographic record
Abstract
In this study, short glass fibers (SGF) reinforced acrylonitrile‐butadiene‐styrene (ABS) composites were compounded with different amounts of polyamide 6 (PA6). The composites were produced by twin‐screw extrusion followed by injection molding to study the effect of SGF concentration (0–30 wt%) and PA6/SGF ratio (25 and 50%) on the morphological, mechanical and rheological behavior of these composites. Both composites were mechanically characterized in tensile mode by quasi‐static and dynamic mechanical tests. The morphology of the cro‐fractured surface was analyzed. The quasi‐static tensile tests revealed that the Young's modulus is significantly increased by using Short glass fiber (a gain of 20 and 13%). From all the results obtained, it was concluded that PA6 can act as a coupling agent between SGF and ABS which was confirmed by dynamic mechanical analysis (DMA), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and rheological analyses. Although more work is needed to further optimize the properties of these ternary compounds, the results obtained may open new avenues for applications like automotive, sporting goods and electronics. POLYM. COMPOS., 39:14–21, 2018. © 2016 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".