Fabrication of AlSi10Mg–AlN metal matrix composites using laser powder bed fusion technology
Bibliographic record
Abstract
AlSi10Mg has evolved to become a standard aluminium alloy utilised in additive manufacturing (AM), owing to a robust response to processing and desirable properties such as a high-strength-weight ratio. Despite these promising traits, the stiffness, thermal conductivity, and thermal stability of AM AlSi10Mg remain inadequate for certain applications. In an effort to bolster performance in these areas, coupling the alloy with controlled levels of ceramic particulate is under investigation. Specifically, research on the incorporation of aluminium nitride (AlN) additions and how these influence the processability of AlSi10Mg in the context of laser powder bed fusion has been considered. Using a design of experiments (DOE) approach, the effects of AlN concentration, laser power, scan speed, and hatch spacing on final part density were studied. The optimal range of VED was determined to be 60–80 J/mm3 for all chemistries considered. However, the presence of AlN was found to reduce as-built density as the ceramic concentration increased. AlN remained largely unaffected by laser irradiation.
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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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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 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".