Effect of minor elements on weldability of nickel base superalloys
Bibliographic record
Abstract
The present state of knowledge on the effects of C, B, S, and P on the weldability of Ni base superalloys is reviewed. Consideration is also given to the effects of Mg and the rare earths on weldability, though the data are sparse and the manufacturing route often not defined. From the analysis, B is considered to be the most detrimental element to the weldability, with lesser effects from C and S. The data on P are limited, but recent results show that P has a variable effect on weldability, being most detrimental in low C alloys (0·01 wt-%), and less of a problem in C levels >0·03 wt-% and above. Consideration is also given to the effects of heat treatment in influencing solute segregation to the grain boundary and on grain growth. The potential effects of two or more elements on grain boundary microchemistry and its effects on weldability are also discussed.
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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 | 0.001 | 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".