Mass-Loss Testing in Magnesium AZ31 Friction Stir Spot Welds
Bibliographic record
Abstract
The choice of welding parameters during friction stir welding of AZ31 magnesium alloy can significantly affect the morphology and extent of corrosion attack. Mass-loss testing in combination with optical analysis revealed that both tool rotation speed and dwell time significantly altered the corrosion rate, morphology, and location of attack. With increasing tool rotation rate, the corrosion morphology shifted from general attack of the upper surface near the shoulder to mainly localized pitting within the shoulder surface for a constant dwell time. For a constant tool rotation rate, increased dwell time increased the susceptibility to localized corrosion but did not change the location. Both observations are consistent with the microstructural evolution of the thermo-mechanically affected zone during welding that is attacked preferentially. The scanning reference electrode technique (SRET) has shown the stir zone to be a noble region that increased in size with increasing rotational speed. The stir zone was found to be noble as a result of the reduced particle area fraction associated with β-phase dissolution during the welding process.
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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 | 0.001 | 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) | 0.001 | 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".