Strength and Friction-Wear Properties of Complex Layer Bearing via Unification Powder Forming and Sintering Process
Bibliographic record
Abstract
The composite journal bearings which have outer layer with high strength and inner layer with high wear resistance can be used as bearing materials in the industrial high-power machine. The complex layer bearing prepared by unification forming of two different mixed powders with Fe-Cu-C in outer layer and Fe-Cu-C-Ni-Mo in inner layer, and then it was sintered for various heating times at 1378 K~1403 K. Mechanical properties of the bearing were investigated by determinations of Vickers hardness and radial crushing strength. The radial crushing strength of sintered bearing with outer layer composition of Fe-Cu-C mixed powder is increased by the addition of phosphorus of 0.2~0.6 weight% (Specimen F). Nevertheless the apparent density of this complex bearing is low. The friction and wear properties in this bearing also were estimated. The sliding property to hardening steel shaft of the complex layer bearing was invested by swing-type sliding machine. Wear loss volume of Specimen F is low under high applied load it is very suitable for use of the industrial high-power machine.
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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".