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Record W4416876876 · doi:10.37665/smbsfyu17170

PWB Contamination & Reliability Doe

2001· article· W4416876876 on OpenAlexaboutno aff
Michael R. Weekes

Bibliographic record

VenueSMTA International · 2001
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)ElectronicsContaminationMiniaturizationPrinted circuit boardSurface-mount technologyCircuit reliabilityElectronic equipmentProcess (computing)

Abstract

fetched live from OpenAlex

ABSTRACT When searching for common industry-accepted test methods to determine the cleanliness of printed wiring boards and assemblies, most manufacturer's turn to IPC (Association Connecting Electronic Industries) for guidance. It is common to use IPC-A-610 (Acceptability of Electronic Assemblies) as well as IPC TM 650 (Test Methods of Electronic Assemblies) and it's methods to benchmark the cleanliness or contamination of a process and product. Unfortunately, a chart listing contamination levels for a specific flux and process does not exist. Contamination can lead to electromigration risk, dendrite growth and subsequent product reliability issues. There are several common, accepted techniques (R.O.S.E. (Resistivity of Solvent Extract)) and modified R.O.S.E. test, SIR test, Ion Chromatography, water-drop-across-trace test, and others). However, there is little consensus as to which test is the best measure of PWB or assembly contamination or cleanliness as well as the test result correlation to long-term reliability. In the 1980s, prior to the Montreal Protocol and subsequent phase-out of CFCs, manufacturers could rely on CFCs and vapor phase reflow to meet soldering requirements. The eventual move away from RMA fluxes, replacement of vapor phase soldering with reflow and the continual miniaturization of electronics has made the focus on contamination and its link to product reliability more important than ever. Dozens of pastes, fluxes, and cleaning materials, as well as continued miniaturization of packaging and designs further complicate matters. This report hopes to achieve several goals: Determine the link between bare PWB contamination, soldered assembly contamination and long-term product reliability. Establish measurable limits for bare PWB cleanliness as well as process control limits for both an aqueous as well as a water-soluble soldering process. Determine whether there is any correlation between common, industry-accepted rose/modified rose (omegameter/ionograph type) testing and long term product reliability. Determine the effect PWB plating finish (HASL, Immersion Silver and Cu OSP) has on both bare PWB contamination as well as soldered assembly in a no clean and water soluble process. Determine whether there is a link between percentage of saponifier used to wash soldered assemblies and long-term reliability. Establish a more cost-effective test for manufacturers to use as a process-monitoring tool.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.005

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 head0.015
GPT teacher head0.257
Teacher spread0.242 · 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
Published2001
Admission routes1
Has abstractyes

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