MétaCan
Menu
Back to cohort
Record W4416880454 · doi:10.37665/jsmteuguk46252

The Influence of Alloy Composition and Temperature Cycling Dwell Time on the Reliability of a Quad Flat No Lead (QFN) Package

2012· article· W4416880454 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

VenueJournal of Surface Mount Technology · 2012
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsHain Celestial (Canada)
Fundersnot available
KeywordsTemperature cyclingEutectic systemSolderingDwell timeReliability (semiconductor)CyclingAlloyWork (physics)

Abstract

fetched live from OpenAlex

ABSTRACT The thermal fatigue performance of SnAgCu (SAC) Pb-free and SnPb eutectic solders was compared using accelerated temperature cycling (ATC). The Pb-free solder alloys were SAC405, SAC305, and SAC105. The cycling tests were performed with a 7 mm x 7 mm Quad Flat No-Lead (QFN) (BGA) test vehicle with 0/100 ºC temperature cycling using dwell times of both 10 and 60 minutes. The initial results from this study were published in an earlier paper [1]. The current paper addresses some assembly deficiencies in the previous work and presents new temperature cycling data to complete the objectives of the original study. The test results show a direct relationship between characteristic fatigue life and Ag content, with the higher Ag content alloys outperforming those with the lowest Ag content. The characteristic lifetime of the SnPb solder assemblies exceeds that of the Pb-free solders, but the characteristic lifetimes of the high Ag alloys are relatively high. As expected, there is a consistent inverse relationship between fatigue life and dwell time for all solders including the SnPb eutectic.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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