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Record W4416880468 · doi:10.37665/jsmtjgwld83584

Polyurethane Conformal Coatings Filled with Hard Nanoparticles for Tin Whisker Mitigation

2014· article· W4416880468 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 · 2014
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsHain Celestial (Canada)
Fundersnot available
KeywordsWhiskerConformal coatingTinNanoparticleMicrostructureUltimate tensile strength

Abstract

fetched live from OpenAlex

ABSTRACT Lead-free electronics using tin-based solders and pure tin are susceptible to tin whisker growth that can result in electrical failure. In an effort to prevent the whisker short circuits, we have developed polyurethane (PU) – based conformal coatings filled with the nanoparticles (nanosilica, nanoalumina). In particular, surface functionalization of those nanoparticles were explored to effectively bind them to the PU structure, as well as to prevent agglomeration. As the performance of the conformal coatings is strongly influenced by nano- and microstructural features, the structural and chemical variations due to the nanoparticle addition were examined by a wide range of characterization methods. The corresponding mechanical properties were also evaluated via ‘macroscopic’ tensile testing as well as ‘localized’ nanoindentation. Based upon mechanical properties and microstructure observations, this work identifies optimum concentration of the nanoparticles in PU. Some preliminary results on the effectiveness of nanoparticle-filled PU coatings for the tin whisker mitigation is also discussed in this paper.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.007
GPT teacher head0.211
Teacher spread0.204 · 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