Effect of electrolyte additives on microstructure and properties of electroplated chromium coatings
Bibliographic record
Abstract
Recent progress in environmental science provides an incentive to explore the use of hexavalent chromium for anticorrosion and wear protection purposes. To this end, this work aims to explore the evolution of the microstructure of chromium coatings as a function of electric current through the electrolyte in the presence of organic and non-organic additives. In this study, the fundamental properties of electroplating related to hard chromium such as hardness (wear resistance) and cathode efficiency are reviewed with respect to cathode current. The results obtained show that the microstructure is sensitive to the presence of organic admixtures in the plating solution. In addition, the effect of hard microparticles on the plating process at enhanced values of cathode current is reported. The cathode efficiency for different plating speeds and in different chromium electrolytes is calculated from the experimental results.
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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 | 0.000 | 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 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".