Development of an Auxetic-Based Elbow Wrap with the Aid of Resin 3D Printing
Bibliographic record
Abstract
In this work, an elastic elbow wrap is developed to press a cotton ball against the skin after a blood draw during an annual medical checkup, helping to stop bleeding. The wrap is made entirely from elastic material and incorporates an auxetic structure with hollow, re-entrant patterns that produce a negative Poisson’s ratio. Consequently, when stretched, the wrap becomes wider rather than thinner, which helps prevent buckling and maintains a smooth surface. Combined with its elasticity, this design ensures the cotton ball remains in firm contact with the skin. In this work, the internal geometry of the auxetic structure is first designed based on geometric constraints. To link the two ends of the wrap around an elbow, a self-locking mechanism is then developed that relies on both friction and the material’s elasticity. Finally, the prototype is fabricated using resin 3D printing. Testing results demonstrate that the wrap effectively resolves the issues of loose contact and over-tightening, which are frequently observed when conventional bandages or adhesive tapes are employed to secure a cotton ball following venipuncture.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".