Laser powder deposition for making functional net-shape parts and repairing damaged gas turbine compounds
Bibliographic record
Abstract
Laser consolidation (LC) is a novel manufacturing process that produces net-shape functional components directly from a CAD model without and moulds or dies. Parts are built layer by layer using a laser beam to melt a controlled amount of injected powder on a substrate to deposit the first layer and on previous passes for the subsequent layers. As an alternative to conventional machining processes, the LC process builds complete net-shape functional parts or features on existing parts by adding instead of removing material. In this paper, laser consolidation of various metallic alloys is demonstrated. The LC process successfully built metallurgically sound Ni-alloys and Ti-alloys samples. The laser consolidated materials exhibit the mechanical properties comparable to respective wrought materials. In addition, several laser consolidated samples were presented to demonstrate the capability of the process to make net-shaped functional components for aerospace applications. Based on the same principle as the laser consolidation but covers surface areas, laser cladding of Ni-alloys and Ti-alloys can also be used to repair damaged aerospace components with much less heat input than the conventional welding methods.
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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) | 0.001 | 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".