AVALIAÇÃO DO DESGASTE POR FADIGA DE CONTATO DE MANCAIS AXIAIS LUBRIFICADOS
Bibliographic record
Abstract
PDF | Investigou-se o desgaste de mancais de rolamento axiais 51100, lubrificados, nacionais e chineses, associando-o à sua dissipação térmica, à sua energia elástica de vibração mecânica e acústica durante ensaios tribológicos acelerados em bancada de laboratório. Os corpos-de-prova foram adquiridos comercialmente e submetidos à carga normal de 450±5 N e à rotação de 3.100±30 RPM, estabelecidos após ensaios-piloto. Registraram-se as temperaturas [K] na zona a 3 mm do contato e a ambiente, a potência elétrica [W] demandada pelo motor, a velocidade de vibração global do sistema [mm/s] e o nível de pressão sonora NPS[dB]. As pistas, após ensaios de 106 ciclos, foram analisadas por Microscopia Óptica. Os rolamentos axiais chineses, de custo inferior aos nacionais, apresentaram respostas distintas em relação às dos nacionais. As assinaturas e a morfologia dos danos após os ensaios foram analisadas, enfatizando-se flutuações nas assinaturas do aquecimento das pistas, na vibração, na potência e no NPS.
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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) | 0.007 | 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".