Study of the fatigue wear behaviors of a tungsten carbide diamond-like carbon coating on 316L stainless steel
Bibliographic record
Abstract
A tungsten carbide (WC) diamond-like carbon (DLC) hard coating has higher lubricity and resilience than other types of nitride-, carbide- and oxide-based ceramic coatings. To evaluate the anti-wear properties of the DLC coating under extremely high impact-sliding loading conditions, a newly developed method, called the cycled inclined impact-sliding test, is introduced and utilized to study fatigue wear behaviors of the DLC coating under a combination of an impact force, Fi, and pressing force, Fp (Fi/Fp = 200 N/400 N), for up to 10 000 cycles. A 10 mm steel (AISI 52100) bearing ball is used as the impacting and sliding object. Due to the low coefficient of friction of the WC DLC coating against the steel counterface, which creates a reduced tangential force on the coating surface and less tensile stress within the coating, the WC DLC coating exhibits high endurance when impacted in dry air conditions. A scanning electron microscopy study showed that different types of fatigue wear cracks appeared and were distributed in the different areas (head and tail parts) of the impact and sliding tracks. Most of those cracks penetrated the coating and caused sawtooth-like deformation in the substrate. Material transfer from the counterface ball was not detected by energy-dispersive x-ray spectroscopy.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".