Wear Mode Comparison of High-Performance Inconel Alloys
Why this work is in the frame
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Bibliographic record
Abstract
Inconel alloys have been used as engineering materials in high temperature and high stress applications due to their excellent mechanical properties. Tribological performances of these alloys, however, have not been conducted extensively. This is because in tribological applications, these materials have not often been utilized in friction and wear-related applications, resulting in a deficiency in the characterization of their tribomechanical properties. In the present research, we investigate the mechanisms of tribological performance of two different Inconel alloys in terms of contact pressures and sliding speeds. We studied their frictional behavior. The wear data were plotted against the pressure×velocity (PV parameter) in order to investigate the changes of surface properties and wear behaviors of the same under the influence of mechanical energy input. It was interesting to find that the wear mechanisms were influenced by the process of tribotesting. There are three competing wear mechanisms found, abrasion, adhesion, and oxidation. Each of those dominates the tribological performance under different conditions.
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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