Residual stress measurement of laser-clad stainless steel coupons
Bibliographic record
Abstract
Wear in industrial components is often a life limiting process. In an effort to combat wear a hard Stellite layer is traditionally brazed onto these areas. To prolong service life laser repair cladding of Stellite to worn surfaces has been proposed.Three stainless steel coupons were surfaced with Stellite using laser cladding techniques. Variations in welding conditions including raster speed, bead width, laser power, and pulse frequency are expected to result in differing biaxial residual stress levels in the substrate parent metal. In this work approximations of the residual stresses expected by this type of welding were estimated using the finite element method. To confirm and optimise the ability to model this type of clad the residual stresses were measured at varying depths in the parent metal using neutron diffraction techniques. From these results it should be possible to determine the residual stress levels in more complex components surfaced under similar conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".