Effect of Microstructure on the Corrosion Behavior of TiN Coatings
Bibliographic record
Abstract
In this paper, the corrosion properties of AISI 301 stainless steel (SS) coated with 1-micron thick titanium nitride (TiN) hard coatings is investigated. TiN was deposited by pulsed magnetron sputtering resulting in different microstructure ranging from agglomerated crystallites to homogeneous film. Microstructure of the coatings was characterized by scanning electron microscopy (SEM), x-ray diffraction (XRD), and energy dispersive spectroscopy (EDS). Resistance to general and localized corrosion was evaluated by potentiodynamic polarization in NaCl 1% solution. It has been shown that the existence of columnar structure in the TiN film reduces significantly the resistance to localized corrosion due to infiltration of liquid through paths at the grain boundaries. Furthermore, by comparing the polarization curves of TiN coatings deposited on SS and glass, it was shown that the electrochemical response of TiN-coated SS at low potentials is the result of electrochemical activity at the coating/electrolyte interface whereas at high potentials the increase in the current is the result of pits generated at the substrate/electrolyte interface at defects/pores within the coating.
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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".