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Record W4416884930 · doi:10.37665/srdbeox90765

The Effects of Bi and Aging on the Microstructure and Mechanical Properties of Sn-Rich Alloys – Part 2

2016· article· W4416884930 on OpenAlexaff
André M. Delhaise, Doug D. Perovic, Polina Snugovsky

Bibliographic record

VenueSoldering and Reliability Conferences · 2016
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsHain Celestial (Canada)University of Toronto
Fundersnot available
KeywordsMicrostructureCarbideSolderingRecrystallization (geology)Rockwell scalePrecipitation hardening

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.200
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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