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.Les progrès récents des sciences de l’environnement fournissent une incitation à explorer l’utilisation du chrome hexavalent pour le but de protection contre la corrosion et l’usure. À cette fin, ce travail vise à explorer l’évolution de la microstructure de revêtements de chrome en fonction du courant électrique à travers l’électrolyte en présence d’additifs organiques et inorganiques. Dans cette étude, on analyse les propriétés fondamentales de l’électroplastie reliées au chrome dur comme la dureté (résistance à l’usure) et l’efficacité de la cathode, par rapport au courant de la cathode. Les résultats obtenus montrent que la microstructure est sensible à la présence d’additifs organiques dans la solution de placage. En plus, on rapporte l’effet de micro particules dures sur le procédé de placage à des valeurs augmentées du courant de la cathode. À partir des résultats expérimentaux, on calcule l’efficacité de la cathode à différentes vitesses de placage et avec différents électrolytes de chrome.
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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".