USINABILITÉ D’ALLIAGES LÉGERS ET DES COMPOSITES LORS DU PERÇAGE À SEC
Bibliographic record
Abstract
L’usinage à sec est une technologie prometteuse pour réduire les coûts ďusinage et éliminer les effets néfastes des lubrifiants sur l’environnement et sur la santé. Cette technologie est cependant difficile à appliquer pour des matériaux qui collent sur l’outil ou pour des composites qui usent rapidement les outils de coupe. Dans ce travail, l’influence des paramètres de coupe, des alliages et des particules dures (SiC, Al 2 O 3 ) et douces (graphite) sur les forces de coupe et sur le mécanisme de formation des copeaux lors de l’usinage à sec est présentée. Les résultats obtenus montrent que les lois d’usinage reliant les forces aux conditions de coupe restent valides pour les composites testés et pour des vitesses jusqu’ à 150 m/min.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.000 | 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".