Microstructure and Mechanical Properties of NGB Joints Formed With B/Si Free Braze Alloys
Bibliographic record
Abstract
Abstract In this research, boron free nickel-based braze alloys were examined in terms of their microstructure in narrow gap and wide gap configurations. The high temperature tensile properties of the standalone boron free braze alloys along with that of the narrow gap braze (NGB) joints with these alloys were also evaluated. The weldability of the boron free alloys was evaluated using bead-on-plate Tungsten Inert Gas (TIG) welding. NGB (with gap of ∼0.1 mm between two surfaces) was carried out using a substrate of GTD111. In addition, two commercial braze alloys, MTU Amdry 788 (A788) and Liburdi low boron braze alloy LW3PL, were incorporated in the tensile test matrix as baselines for comparison. The results from this study showed that the boron free alloy can be used as traditional braze welding rods for manual weld repair with good weldability. In addition, one of the boron free braze alloys, XH-1, possess higher tensile strengths than A788 braze alloy, due to the presence of gamma prime forming elements (Ti+Al). At 982 °C, NGB joint with XH-1 yielded tensile properties superior to that joined by LW3PL, i.e., higher strength and equivalent ductility. The high temperature tensile properties of the same joints showed similar yield and tensile strength values to that of the base metal GTD111, however, with lower ductility. Further improvement to brazing processes will be undertaken to improve the ductility of the boron free brazed joints in our future studies.
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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".