The effects of applied voltage on surface texturing during cathodic plasma electrolysis process
Bibliographic record
Abstract
Cathodic plasma electrolysis (CPE) process was applied on cast iron samples for about 1 minute to obtain a crater-liked surface texture with intention to reduce the friction and increase the wear resistance. During the treating process, the plasma discharging was initiated at the surface of cast iron samples, leading to the explosion of gas bubbles and then generating an irregular array of micro craters. The scanning electron microscopy (SEM) observations showed that the recessed and protruded surface textures were obtained when the CPE-process was conducted at low and high voltages, respectively. The textured surfaces were measured and characterized using skewness and kurtosis Pin-on-disc tribotests on those textured samples demonstrated that the samples with negative skewness and higher kurtosis had a smaller coefficient of friction (∼0.08), while the samples with positive skewness and higher kurtosis had a larger coefficient of friction (∼0.104), which was even higher than that of untreated blank sample (∼0.1). The results indicate that the applied voltage significantly influences the surface finish in terms of surface texture and morphology, and thus the coefficients of friction.
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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 | 0.001 |
| 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".