Dynamic mechanical characterization of boron nitride nanotube—epoxy nanocomposites
Bibliographic record
Abstract
Quasi‐static and dynamic performances of an epoxy adhesive with and without Boron nitride nanotubes (BNNTs) are studied here. This article investigates the thin film shear and bulk tensile properties of EPON 828/Epikure 3223. In addition to the neat epoxy material, specimens with 1 and 2 wt% concentrations of BNNTs were also tested. Double‐lap shear tests were performed at strain rates ranging from 4.0 × 10 −4 to 3.7 × 10 3 s −1 and it was found that neither the incorporation of BNNTs nor increasing the strain rate had a substantial effect on the shear properties of the thin adhesive layer. However, bulk tensile properties were seen to be sensitive to changes in strain rate. An increase in the strain rate from 5.5 × 10 −4 to 1.2 × 10 2 s −1 increased the tensile strength and Young's modulus by 39 and 113%, respectively; while the failure strain decreased by 49%. Additionally, the BNNT‐modified tensile specimens demonstrated up to 7% increase in tensile strength, up to a 16% increase in modulus, and a 9% decrease in the strain at failure. These results along with electron micrographs showed that due to pull‐out and bridging mechanisms of the nano‐reinforcements, the BNNTs are more effective in normal stress dominant applications, as opposed to shear stress. POLYM. COMPOS., 40:2119–2131, 2019. © 2018 Society of Plastics Engineers
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".