Experimental investigation of the Al-Mn-Zn system through diffusion couples and key samples coupled with thermodynamic modeling
Bibliographic record
Abstract
Al-Mn-Zn ternary system is experimentally investigated at 400℃ via diffusion couples and key samples experiments. Three new ternary compounds have been found in the current study. Phase relations and homogeneity ranges are determined for binary and ternary phases through EPMA, SEM/EDS and XRD. Compositions of the ternary intermetallic compounds τ1, τ2 and τ3 have been found as Al62Mn16Zn22,Al76Mn13Zn11 and AlxMnyZnz (x=9.5-12.7 at%; y=11-15 at%; z=74.6-77.2 at%). Al4Mn is found to form quasicrystal or stable equilibrium phase in the presence of Zn and depending on the solidification conditions. Binary compounds Al4Mn, Al11Mn4, Al8Mn5 and β-Mn exhibit limited ternary solid solubility. Experimental data on this system from the literature is spare, isothermal section of the Al-Mn-Zn phase diagram at 400℃ is constructed based on the current phase analysis results and experimental data. \nDSC analysis approach is also used to investigate this ternary system. Partial vertical sections at 13, 14 and 15 at% Mn have been experimentally investigated and compared with preliminary thermodynamic calculations. Discrepancy is observed due to the absence of the ternary phases in the thermodynamic database. Thus, this ternary system has to be remodeled in the future.
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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 | 0.001 | 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) | 0.002 | 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".