Hybrid additive manufacturing of Ti-Cu structures, combining powders with metallic foils
Bibliographic record
Abstract
Additive manufacturing has emerged as a promising method for fabricating multi-material metallic structures. Unlike conventional additive manufacturing techniques that rely on metallic powders, the use of metallic foils offers advantages such as altered cooling rates, and modified mixing behavior, all of which can significantly influence the resulting microstructures and properties. Due to its favorable thermal and electrical properties, copper-containing multi-material systems attract both academic and industrial interest. Combined with the excellent mechanical performance of titanium alloys, the fabrication of copper–titanium multi-material components presents a unique opportunity to achieve superior thermal and mechanical characteristics. In this study, a multi-material structure was fabricated using a combination of CuCrZr powder and Ti-6Al-4V foils. Unlike the cracked powder–powder sample, the defect-free powder–foil interface shows potential for forming deformable amorphous and ultra-fine intermetallic, depending on local thermodynamic conditions. Microstructural analysis, supported by in-situ XRD measurements, showed the presence of an amorphous TiCu phase at the interface, coexisting with copper-rich intermetallics such as Cu₂Ti and Cu₃Ti₂. Computational fluid dynamics correctly simulate the observed mixing patterns and confirmed that the foil-powder combination leads to a cooling rate as high as 32500 K·s⁻¹. This rapid cooling, in combination with the local chemical compositions, promotes the formation of the amorphous TiCu phase. The characteristics and formation mechanisms of the nanoscale CuTi and CuTi₂ intermetallics compounds were thoroughly investigated. Nanoindentation-based local mechanical testing finally demonstrated that the amorphous phase is ductile, which explains why the enhanced resistance to thermal shock and interfacial cracking. This study shows in the context of multi-material printing the advantages of using powders-foils for some alloys instead of powders-powder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".