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Record W4416885151 · doi:10.37665/srahixg72986

Microstructures Resulting from the Use of Solder Balls of One Composition with Paste of a Different Composition on a Copper Substrate

2008· article· W4416885151 on OpenAlexaff
L. Snugovsky, Doug D. Perovic, J. W. Rutter, Polina Snugovsky, Simin Bagheri

Bibliographic record

VenueSoldering and Reliability Conferences · 2008
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEutectic systemMicrostructureSolderingCopperSolder pasteSubstrate (aquarium)Melting pointDissolution

Abstract

fetched live from OpenAlex

ABSTRACT With the development and use of a variety of Pb-free solders, it is probable that some solder joints in electronic assemblies may be made with solders of two different compositions, one of which may be eutectic Pb-Sn. To investigate some possible resulting microstructures, small balls of four different SAC Pb-free solders were each melted with eutectic Pb-Sn solder paste, as well as with various SAC pastes, on a copper substrate. Two paste levels were used, 20 and 29 weight percent of the total sample weight. In all cases, the sample was held for 90 seconds at a temperature above the melting point of the solder paste. For samples made with PbSn paste, two different values of maximum temperature were used, 210°C and 220°C, while for samples made with SAC paste, the maximum temperatures used were 235°C and 245°C. The resulting microstructures were evaluated metallographically using both optical and scanning electron microscopes. It was observed that the use of Pb-Sn solder paste introduced some Pb-Sn eutectic microstructure and changed the ternary eutectic present from Ag 3 Sn-Cu 6 Sn 5 -Sn, normally observed in SAC alloys, to Ag 3 Sn-Pb-Sn. The high Sn content of the SAC alloys used led to rapid dissolution of the copper substrate, often resulting, on cooling, in formation of primary Cu 6 Sn 5 crystals and Cu 6 Sn 5 -Sn binary eutectic regions. Similar experiments were also carried out using balls of the Sn-Zn-Al solder alloy.

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)0.001
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
Metaresearch0.0000.001
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 head0.037
GPT teacher head0.217
Teacher spread0.180 · 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
Published2008
Admission routes1
Has abstractyes

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