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Record W4416876057 · doi:10.37665/smvpvmn68164

The Effect of Reflow Profile on the Soldering Performance of Tin-Bismuth Alloys

2020· article· W4416876057 on OpenAlex
Julia Del Re

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

VenueSMTA International · 2020
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsSoleno (Canada)
Fundersnot available
KeywordsSolderingLiquidusIntermetallicReflow solderingSurface-mount technologyPrinted circuit board

Abstract

fetched live from OpenAlex

ABSTRACT There is a growing trend towards the implementation of low temperature solders in the surface mount technology (SMT) industry. Tin-bismuth solders are a popular candidate because of their low melting points, but the link between reflow profile and the properties of the reflowed solder joint is not well understood. In this work, printed circuit boards (PCBs) were printed using reflow profiles that have varying time above liquidus (TAL) and peak temperature. The PCBs were then analyzed to see how the reflow profile affected the soldering. The reflowed PCBs were first analyzed for key properties like voiding and wetting. They were cross-sectioned afterward so that their metallurgical properties could be examined. Analysis of the reflowed solder joints revealed that reflow profile had a minimal effect on the intermetallic compound (IMC) layer or the metal microstructure. Furthermore, the samples were cycled between -25 °C and 125 °C for 1000 cycles. All the samples behaved similarly during thermal cycling, indicating that 42Sn58Bi and 42Sn57Bi1Ag are robust alloys which can withstand a wide variety of reflow conditions without it affecting their mechanical properties.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.222
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