Laser localized coating of corrosion resistant metal over a steel weld bead
Bibliographic record
Abstract
Coated steel sheet is one of the most important raw materials for the automotive industry. The commonly used Al or Zn based coatings on steel sheet provide a physical barrier and/or galvanic protection, and thus prevents a corrosive attack of the steel substrate. In order to make complex component or assembly, several steel sheets of various sizes, shapes, or thicknesses are welded together before or after being formed. Unfortunately, the process of welding together the precoated steel sheet pieces results in the formation of a weld joint that is devoid of anticorrosion protection. Re-formation of the protective coating over the weld joint could greatly improve the final product's quality in terms of resistance to corrosion. In this investigation, recoating of aluminum-silicon over laser weld joints has been explored by laser beam heating and powder injection. Precise coating over the weld joint was achieved. The produced coating on the welding bead is smooth when proper processing parameters are employed.
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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".