Fe(III)-Fe(II) Redox Kinetics and their Effects on 2205 Duplex Stainless Steel Corrosion
Bibliographic record
Abstract
The kinetics of the Fe(III)/Fe(II) redox couple on 2205 duplex stainless steel (DSS) were studied in 0.5 M H2SO4 at 25, 60, and 95 °C, across Fe(III)/Fe(II) ratios of 1:10, 1:1, and 1000:1. A novel method was developed to isolate the mixed potential, applied to DSS for the first time. The reversible potential (Erev) was maintained within the passive range (0–1 V vs SHE) to minimize corrosion. PDP and 60-day immersion tests confirmed passivity with <0.1 mm y−1 corrosion rate and no pitting. Potentiostatic tests showed consistent Tafel regions (R2 > 0.95). At a 1:1 Fe(III)/Fe(II) ratio, temperature variation from 25 to 95 °C has little impact on Erev, which remains stable at 0.65–0.68 V vs SHE. In contrast, increasing the Fe(III)/Fe(II) ratio markedly raises Erev from 0.60 V to 0.86 V. Despite these shifts, Erev stays within the passive region, providing anodic protection and minimizing crevice and pitting risks.
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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 | 0.000 |
| 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 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".