Production of Bulk Metallic Glasses for Use in Airborne Gravity Gradiometry
Bibliographic record
Abstract
Bulk metallic glasses (BMGs) are ideal candidates for airborne gravity gradiometer (AGG) flexures due to their unique mechanical properties. In this thesis, the role of processing variables in the production Zr-based BMGs by arc melting and suction casting was investigated and an electrochemical method for determining the degree of crystallization after electric discharge machining (EDM) was examined. Homogenization was most effectively obtained using multiple melting iterations and prolonged melting times. The difference between input and actual Zr concentration was found to be significant in arc melting and suction casting. Superior GFA was obtained using high purity argon purge gas and low purity Zr contrary to the consensus that GFA strictly increases with increasing raw material purities. The use of potentiostatic polarization in 1M NaNO3 for evaluating the degree of crystallization in Zr55Cu30Al10Ni5 samples after EDM may be feasible due to the dependence of passivation behaviour on the degree of crystallization.
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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) | 0.002 | 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".