Metallurgical assessment of Al-Zr-Y alloys for laser-based processing
Bibliographic record
Abstract
The scope of aluminum alloys commercially available for laser-based additive manufacturing is limited yet the demand for them is growing aggressively. In many cases, end-users are particularly interested in those that offer enhanced thermal stability. Historically, several such materials were premised on alloys that incorporated transition metal (TM) additions which formed refractory aluminides as the principal strengthening addition. The objective of this study was to pursue a similar concept but as applied to the ternary Al-Zr-Y alloy system . In doing so, plates with varying Zr and Y contents (0–2 wt%) were cast and subsequently subjected to laser remelting (LRM) using a Yb-fibre laser. Microstructures then characterized using laser confocal microscopy , XRD , SEM, and TEM . LRM was seen to produce an epitaxial columnar α-Al matrix in binary Al-Y alloys, with intergranular solidification cracking seen in the highest Y content of 2 wt%. In Al-Zr specimens, increasing Zr content resulted in the development of a duplex microstructure consisting of distinct epitaxial columnar regions near the melt pool boundary and equiaxed regions near the center. The development of equiaxed regions was ascribed to the presence of sub-micron dispersoids . These dispersoids were Zr-rich and increased in number with corresponding increases in Zr content. They were also observed in Al-Zr-Y specimens and were subsequently identified as an L1 2 -Al 3 Zr. The addition of Y produced a dramatic increase in dispersoid density, and consequently the proportion of equiaxed grains, demonstrating that the Al-Zr-Y system is a promising candidate for laser-based processing technologies.
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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) | 0.001 | 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".