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Record W4416884882 · doi:10.37665/srapppj97513

Characterization of Solvus in Ternary and Quaternary Bismuth Containing Solder Alloys

2016· article· W4416884882 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSoldering and Reliability Conferences · 2016
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsHain Celestial (Canada)University of Toronto
Fundersnot available
KeywordsSolvusMicrostructureSolderingDifferential scanning calorimetryPrecipitationTernary operationBismuthPrecipitation hardening

Abstract

fetched live from OpenAlex

ABSTRACT Compliance with RoHS 2 requirements has necessitated the development of high reliability alternatives to SAC305 lead free solder. Many of the solders being considered for this role contain bismuth, and as such characterizing the behaviour of this alloying element is vital to understanding the evolution of microstructure in these candidate solders. One of the features that makes Bi so attractive for high reliability solder applications is the balance of solid solution strengthening and precipitation hardening it provides in a beta-tin matrix. Therefore, a particular point of interest is the solvus temperature – the point above which Bi will dissolve into the tin matrix to form a solid solution, and below which Bi will precipitate out of the matrix. To this end, the solvus temperature of a number of Bi containing ternary and quaternary solders was determined using a novel differential scanning calorimetry (DSC) method. This value was validated using classic metallographic techniques applied to samples aged both above and below the experimentally determined solvus temperature, and the observed microstructure was characterized.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.223
Teacher spread0.209 · 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