Role of filler alloy composition on laser arc hybrid weldability of nickel-base IN738 superalloy
Bibliographic record
Abstract
Laser arc hybrid weldability study was performed on nickel-base IN738 superalloy using nickel-base filler alloys of various compositions. Propensity for heat affected zone (HAZ) intergranular liquation cracking in the weldments was observed to vary depending on the Al+Ti+Nb+Ta concentration of the weld metals produced by the different filler alloys. Detailed study, including SEM and TEM analyses, thermodynamic calculations and microhardness evaluation revealed that variation in HAZ cracking susceptibility of IN738 superalloy when different filler alloys are used during laser arc hybrid welding can be attributed to variation in the extent of precipitation hardening produced in the weld metals. Additionally, shrinkage, and the consequent volumetric changes, due to γ′ precipitation in the weld metals could have contributed to excessive tensile loading of the crack susceptible HAZ and aided intergranular liquation cracking.
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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".