Microstructural Effects on Corrosion of AM50 Magnesium Alloys
Bibliographic record
Abstract
The influence of microstructure and aluminum distribution on the corrosion of three different casts of the magnesium AM50 alloy (sand, graphite, die) was studied in 1.6 wt% NaCl solution. The microstructure of the alloys and the distribution of individual elements were characterized using scanning electron microscopy (SEM) and energy dispersive X-ray analyzes. Differences in the morphology and distribution of corrosion damage were determined using SEM and confocal scanning laser microscopy. Weight change measurements and electrochemical impedance spectroscopy showed that the corrosion resistance improved in the order sand cast < graphite cast ≪ die cast. This increased resistance was shown to be attributable to the increasing tightness of the α-Mg/β-phase/Al-containing eutectic microstructural network, which led to an improved protection of the surface by Al-enriched eutectic and a decrease in the probability of initiating a major damage site on an α-Mg region with low Al content.
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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 | 0.001 | 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".