Modification and integration of shear thickening fluids into high performance fabrics
Bibliographic record
Abstract
Great interest has aroused in developing the next generation body armour based on the incorporation of a Shear Thickening Fluid (STF) into high performance fabrics (Kevlar®, UHMWPE). This innovative technoloy allows for the production of comfortable, flexible, lightweight, stab and ballistic resistant protective garments. This innovative technology allows for the production of comfortable, flexible, lightweight, stab and ballistic resistant protective garments. The furrent research was undertaken to evaluate the stab resistance and the chemical properties of types of high performance fabrics, Kevlar and Ultra Hight Molecular Weight Polyethylene (UHMWPE), impregnated with several types of shear thickening fluids. The stab resistance properties of all samples were tested using drop tower and quasistatic testing apparatuses. Chemical compositions and microscopic structures were analyzed with Fourier Transform Infrared Spectroscopy, Scanning Electron Microscopy and Energy Dispersive Spectroscopy. The current study demonstrated the importance of incorporating Shear Thickening Fluid into woven high performance fibres. The results clearly display a significant enhancement in puncture resistance ony of Kevlar® fabrics impregnated with different combination of STFs.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".