The Effects of Bi and Aging on the Microstructure and Mechanical Properties of Sn-Rich Alloys – Part 2
Bibliographic record
Abstract
ABSTRACT A significant reliability concern with lead-free solder alloys such as SAC 305 is the degradation of mechanical properties after aging at both elevated and room temperature, due to the coarsening and recrystallization of the microstructure. It has been shown in earlier studies that the inclusion of bismuth (Bi) in these alloys leads to a stabilization of the microstructure and subsequent maintenance of as-cast properties after aging. The goal of this paper and ongoing research is twofold – to ascertain whether these trends hold at a large range of aging temperatures and times, and to understand the underlying metallurgical mechanisms that lead to these effects. This paper is a follow-up to an earlier publication1 which examined the effects of aging on the microstructure and hardness of Bi-containing Sn-rich alloys. The alloys studied were Sn-1Bi, Sn-5Bi, Sn-0.7Cu-1Bi, and Sn-0.7Cu-5Bi, as well as a baseline alloy, SAC 305. Further time points at both room temperature (between 10 and 365 days) and at 100°C (between 1 and 14 days) were added to the results from the prior study, as well as an additional aging temperatures of 125°C (with aging times between 1 and 14 days). As-cast microstructure and properties were also included. Cooling after elevated temperature aging was performed in air. The microstructure was evaluated using Scanning Electron Microscopy, and hardness was measured using a Rockwell hardness tester HR15X with a ¼” carbide ball indenter. For Bi-containing alloys, bismuth precipitates became more uniformly distributed as aging proceeded, and hardness did not undergo any appreciable changes. SAC 305, on the other hand, showed a predictable decay in hardness after all aging treatments.
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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 | 0.001 | 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".