Nanocrystalline Metal Enabled Conductors for Enhanced Strength-to-weight Aerospace Electrical Wiring
Bibliographic record
Abstract
High strength-to-weight nanocrystalline alloy enabled conductor (NEC) prototypes were successfully developed by reinforcing an oxygen-free copper core material with electrodeposited cobalt phosphorus (CoP) coatings. A rule of mixtures approach was utilized to design the NEC prototypes to meet materials performance indices. Three unique NEC prototypes were produced with CoP coatings composed of alternating nanocrystalline (11 nm) and coarse-grained layers. The tensile properties were dependant on the coating microstructures, with tensile strengths of 1000 MPa, 970 MPa, and 900 MPa, respectively, and corresponding tensile elongations of 4.6%, 6.1%, and 10%, respectively. The electrical conductivity of the NEC prototypes was ~58 %IACS (resistivity of ~2.96 µΩ-cm). The rule of mixtures approach effectively predicted the tensile strength and conductivity. The NEC samples were significantly stronger than the incumbent high-strength aerospace conductor material, Be-Cu alloy CS95, which exhibits a tensile strength of only 655 MPa and conductivity of 63 %IACS.
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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 | 0.000 | 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 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".