Mechanical and X-RAY Characterisation of the Assisted Two-Way Shape Memory Effect In NiTi
Bibliographic record
Abstract
This study concerns the development of an experimental procedure to characterise the fatigue behaviour of NiTi shape memory alloy subjected to thermal cycling under a constant applied load. This experimental technique combines the measure of macroscopic properties with the X-ray analysis of the alloy structure. The evolution of transformation temperatures, total recoverable strain and hysteresis loops are measured up to 3000 heating and cooling cycles. The X-ray structural analysis performed under the same experimental conditions helps to understand the underlying mechanisms.Cette étude porte sur le développement d'une procédure expérimentale visant à caractériser le comportement en fatigue d'un alliage à mémoire de forme NiTi soumis à des cycles thermiques sous une contrainte appliquée constante. Cette approche expérimentale combine la mesure des propriétés macroscopiques sur un banc d'essai avec l'analyse par rayons X de la structure de l'alliage. L'évolution des températures de transformations de phases, l'effet mémoire et les boucles d'hystérésis sont mesurés jusqu'à 3000 cycles thermiques de chauffage et de refroidissement. L'analyse par rayons X de la structure dans les mêmes conditions expérimentales permet de comprendre les mécanismes en jeu.
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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".