Studies on the laser spot welding of steel/magnet dissimiliar materials
Bibliographic record
Abstract
The paper studies the laser spot welding of SPCC steel and NdFeB permanent magnet. Results show that during welding process the two metals quickly melt, mix and then solidify to form a weld that joins two specimens together. The hardness in the joint is not uniform: the heat affected zone (HAZ) has a lower hardness than NdFeB base metal; within the nugget, the region adjacent to the fusion line has the highest hardness while the middle part of nugget has the lowest hardness in the joint. Hot cracks are apt to occur at the interface between nugget and magnet base metal, whereat the cracks propagate and lead to joint failure during shear tests. The fracture is intergrannular and is a typical brittle fracture. To increase the joint strength and prolong the service life of welded components, it is necessary to take some metallurgical and technological measures to improve the bonding quality between nugget and magnet base metal.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".