Microstructural analysis of critical geometries and heat treated laser powder bed fusion produced aluminum alloy A356
Bibliographic record
Abstract
Additive Manufacturing (AM) has garnered much attention due to the considerable advantages it offers over traditional manufacturing.Laser Powder Bed Fusion (LPBF) is a common AM method for metals, particularly in aerospace, due to the complex components that traditional manufacturing methods are able to produce, albeit with difficulty.Aluminum alloys are among those that are being examined for use in the aerospace industry, as the trend for lightweight components continues.Therefore, an advantage emerges in combining the benefits of aluminum alloys such as A356 (Al-7Si-Mg) with those of LPBF.However, the combination has to be studied in detail before it can be put into practice.The objective of this work is to study the microstructure and helping to make McGill a welcoming place.I would like to thank Lucie Nguyen, and especially Jose Alberto "Beto" Muniz, for answering my endless questions.I would especially like to thank Jason Danovitch, Andrew Walker, and Joseph Chou for being such great friends and people I could truly rely on.Love and appreciation must also be expressed for the friends I made at McGill outside of the lab. I definitely appreciate the long lunches
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".