Uncovering the mechanism behind a two-step infiltration during layered wide-gap brazing of a Ni-base superalloy using a B-Containing filler metal
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Bibliographic record
Abstract
This study investigates the mechanisms resulting in a two-step infiltration process during layered wide-gap brazing of the MAR-M247/BNi-9 system for repair of high-temperature Ni superalloy components. Differential scanning calorimetry was coupled with electron microscopy and 3D X-ray microscopy to better quantify the two-step infiltration process. It was found that significant diffusional homogenization between braze alloy and MAR-M247 particles, occurred prior to liquation. As a result, only about 15% of the braze melted during Stage 1 of layered wide-gap brazing as compared to approximately 49% when only the melting of pure BNi-9 was considered for the same temperature interval. Stage 1 melting began at the ternary eutectic transformation temperature, 1053 °C, with the complete melting of Ni 3 B and partial melting of γ -Ni. Upon liquation, the braze liquid readily infiltrated the MAR-M247 skeleton via capillary action. As a result of rapid boron diffusion into the MAR-M247 skeleton from the infiltrating braze, extensive base metal dissolution and eventual diffusional solidification occurred, with Stage 1 infiltration terminating at 1073 °C. Stage 2 melting and infiltration began at 1102 °C with the re-melting of the partially infiltrated braze as well as melting of remaining un-infiltrated braze atop the layered brazement, with near complete infiltration attained by 1150 °C. Further, it was found that infiltration behavior varied between Stages 1 and 2, with 58% and 40% of the MAR-M247 skeleton infiltrated after 120 s and 228 s, respectively. Kinetic differences were likely influenced by: (i) transition from rapid to sluggish skeletal dissolution regimes, and an (ii) alteration of the MAR-M247 pore network structure
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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 it