Influence of Carbon Content in Cobalt-Based Superalloys on Mechanical and Wear Properties
Why this work is in the frame
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Bibliographic record
Abstract
Two cobalt-based superalloys containing 1.6% and 2% carbon respectively were studied, with the emphasis on the influence of the carbon content on their microstructures, wear resistance, and mechanical properties. Phase formation and transformation in the microstructures were analyzed using metallographic, X-ray diffraction, and differential scanning calorimetry techniques. Wear resistance, tensile and fatigue behaviors of the alloys were investigated on a pin-on-disc tribometer, MTS machine and rotating-bending machine, respectively. It is found that the wear resistance was increased significantly with the carbon content. The mechanical properties of the alloys are also influenced by the carbon content, but the impact is not so significant as on the wear resistance. It was observed that the carbon content increased the yielding strength and fatigue strength, but decreased the fracture stress and fracture strain.
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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 | 0.000 |
| 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) | 0.000 | 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 it