Simulating cast-like microstructure using laser powder directed energy deposition (LP-DED) – a critical step to enable LP-DED as a high-throughput screening tool for conventional Al alloy development
Bibliographic record
Abstract
Laser powder directed energy deposition (LP-DED) additive manufacturing (AM) has been proposed as a high-throughput tool to support combinatorial alloy synthesis. However, this approach cannot directly inform alloy development for traditional cast and wrought Al alloys due to vastly different microstructure and mechanical properties from the laser produced materials. In the present work, we propose a new manufacturing route of LP-DED to simulate cast-like microstructure of Al-Mn-Fe-Si alloy made by direct chill (DC) casting. By utilizing substrate heating and grain refinement, the optimized LP-DED alloy exhibited similar microstructure and mechanical response as DC-cast counterpart, under both as-built and homogenization conditions. The alloy also showed similar recrystallization dynamics and microstructure as DC-cast alloy under the same thermomechanical treatment. The results showed that the optimized LP-DED process can produce materials that share the similar microstructural characteristics and properties as its DC-cast counterpart. This method bridges the gap between laser AM and conventional casting processes, and for the first time makes LP-DED a feasible high-throughput screening tool for DC-cast Al alloy development.
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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 | 0.001 | 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".