Hybrid investment casting of Al-Cu-Sc alloy-based lattice structures: Material and process characterization
Bibliographic record
Abstract
This paper characterizes the development and optimization of a hybrid investment casting approach tailored for accurately crafting lattice structures with Al-4.5 wt pct Cu-0.4 wt pct Sc alloy, emphasizing precision in mold making, complex surface detailing, and porosity reduction. The core of the research is the description of the manufacturing procedure and the dimensional optimization strategies associated with this hybrid cast lattice geometries. After exploring the lattice shape produced through this advanced casting method, this research explores the microstructural properties and the solidification cooling rate of this hybrid investment casting. Furthermore, this work also addresses the complexity of the manufacturing protocol and the dimensional refinement method. • Developed a hybrid investment casting process for Al-4.5 wt %Cu-0.4 wt %Sc alloys. • Achieved high dimensional accuracy and low porosity in lattice structures. • Surface roughness optimized using different inner pattern materials and treatments. • Solidification cooling rate affects microstructure and secondary dendrite arm spacing. • Degassing system significantly reduced porosity in both joint and strut regions.
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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) | 0.000 | 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".