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Record W4416884911 · doi:10.37665/srsmqdf66744

Microstructural Evaluation of Low and No-Ag, Bi-Containing Pb-Free Solders

2015· article· W4416884911 on OpenAlexaff
Eva Kosiba, Polina Snugovsky, Doug D. Perovic

Bibliographic record

VenueSoldering and Reliability Conferences · 2015
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSolderingEutectic systemMicrostructureSupercoolingAlloySolder pasteBall grid arrayJoint (building)

Abstract

fetched live from OpenAlex

ABSTRACT This paper describes the solidification characteristics of solder joints formed using three different Low (or no) Ag, Bi-contaioning Pb-free alloys. It considers the effects of Cu dissolution, undercooling and IMC formation on the bulk solder. The formation of interfacial IMCs is also evaluated with both Cu-Sn and Cu-Ni-Sn systems being considered. This work also investigates the impact of Bi on both the bulk solder and the interfacial IMC. Of the three solders being evaluated, two have a near-eutectic composition in a quaternary system, while a third has a composition along the eutectic valley of a ternary compound. The properties and microstructures of each are compared to SAC305. This study includes the evaluation of solder joints formed on QFPs, and therefore primarily made up of the alloy under study as well as solder joints formed using BGAs having a solder ball composition of SAC305; therefore the combined solder joint is made up of the alloy under study mixed with SAC305. This work considers the solidification which occurs in a typical assembly reflow process and is therefore representative of “as manufactured” product.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.034
GPT teacher head0.264
Teacher spread0.230 · 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
Published2015
Admission routes1
Has abstractyes

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