Chemo-Mechanical Effect in Erosion-Corrosion Process of Carbon Steel
Bibliographic record
Abstract
Abstract In this work, the chemo-mechanical effect in slurry-erosion was investigated and an attempt was made to understand the mechanism of the corrosion-enhanced erosion. The chemo-mechanical effect was evaluated with the hardness degradation due to the presence of anodic current on the surface. The micro-hardness measurements of A1045 steel was determined in de-ionized water and in an aqueous solution of 1M NaHCO3 while anodic current was applied. The results showed that the hardness decreased with increasing anodic current density and the relative hardness degradation (ΔHv / ΔHv0) is a linear function of the logarithm of the anodic current density. The dependence of hardness drop on the anodic current density is almost independent of the corrosive media although the carbon steels displayed different polarization behavior in the test solutions used in the current experiments. The erosion and erosion-corrosion tests were conducted with A1045 steel in a slurry comprising 0.1M Na2SO4 aqueous solution + 30% sand under condition of cathodic protection or action of constant applied anodic current, respectively, and the steel was annealed at different temperatures to achieve different hardness. The degradation of mechanical erosion resistance with decreasing hardness implied that a synergistic mechanism would result from the chemo-mechanical effect. It was confirmed again by the test results. The material loss rate due to the corrosion-enhanced erosion increased with increasing applied anodic current density.
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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) | 0.000 | 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".