Laser consolidation of net-shape shells for flextensional sonar projectors
Bibliographic record
Abstract
Laser consolidation (LC) is a computer-aided manufacturing process that builds a functional net-shape part directly from a CAD model, without the use of moulds or dies. The folded shell projector (FSP) is a compact flextensional underwater sound projector developed by DRDC-Atlantic for low frequency sonar applications. The radiating surface of the FSP is a thin-walled shell of complex shape that challenges conventional manufacturing technologies. In this study, several versions of the FSP were designed using DRDC-Atlantic’s MAVART finite element code. NRC-IMTI refined the laser consolidation process and successfully manufactured the complex shells from IN-625 and Ti-6Al-4V alloys. The laser consolidated net-shape shells are metallurgically sound and exhibit excellent surface finish, dimensional accuracy and mechanical properties. Field tests of FSP prototypes demonstrated that the shells met their design goals of resonant frequency and source level. Other manufacturing methods for building the shells (electroforming, hydro-forming and Ni vapor deposition) were also explored. However, at the moment, the laser consolidation process is the only manufacturing technology capable of making the FSP shell to the required tolerances.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 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".