Fracture Toughness of Multi Walled Carbon Nano Tubes Modfied Polymer Composite in Mode - I
Bibliographic record
Abstract
In the present work Multi Walled Carbon Nano Tubes were dispersed into Ly 566 with 1%, 3% and 5% by weight and nano composites were manufactured using the wet-layup technique in two different stacking sequences namely 0/90 and 0/0. For the dispersion of the nano tubes into the polymer an ultra sonic bath was utilized to sonicate the Multi Walled Carbon Nano Tubes. The property fracture toughness has been characterized by a using standard double cantilever beam (DCB) specimen to estimate the fracture parameter namely GIC. According to the tests the nano tube filling of the matrix of the composites has a beneficial effect on their interlaminar properties and the strain energy release rate increased significantly over the virgin samples. The broken fracture surfaces of the failed samples were examined with a high resolution scanning electron microscope.
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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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 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".