Friction Stir Processing to Increase the Application Temperature of Rare Earth Magnesium Alloy AE42
Bibliographic record
Abstract
AE 42 is rare earth containing magnesium alloy which was developed for creep resistance and automobile applications. This alloy was subjected to friction stir processing and the effect of processing parameters on the properties was studied in detail. Mechanical and metallurgical properties of stir zone were evaluated and compared with parent metal. Thermal cycling of stir zone was carried out to study the stability of it at high temperature. Due to processing, stir zone microstructure was refined to 5 micron. The second phase inter-metallic particles Mg 17 Al 12 , Al 11 Ce 3 and A l2 Ce were refined to tiny pieces of 1-2 micron and evenly distributed in the matrix. The stir zone was stable up to 250°C during thermal cycling. Mechanical properties of friction stir zone were superior to parent metal.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".