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Record W4416884991 · doi:10.37665/srgrcue66042

BGA Solder Joint Fracture as a Function of Strain Rate and PCB Rigidity

2016· article· W4416884991 on OpenAlexaff
Amir Nourani, Saeed Akbari, J.K. Spelt

Bibliographic record

VenueSoldering and Reliability Conferences · 2016
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBall grid arraySolderingFracture (geology)Joint (building)Strain rateStiffnessRigidity (electromagnetism)

Abstract

fetched live from OpenAlex

ABSTRACT Package-on-board systems utilize printed circuit boards (PCBs) with different rigidities depending on the application of the product. This study investigated the effect of PCB stiffness on the fracture loads of ball grid array (BGA) solder joints over a range of strain rates. Fracture experiments under bending loads were performed using specimens with 1, 2 or 3 laminated PCBs, each 1 mm thick. Intermediate strain rates (0.2-0.6 s -1 ) were achieved using a servo-electric machine, while a drop tester was used for high strain rate (30-50 s -1 ) experiments. A strain-rate dependent cohesive zone model was calibrated using the measured fracture load of one specimen with 1 or 2 laminated PCB(s) in each of these strain rate regimes. This model was then used to predict the fracture loads of the specimens with 2 or 3 laminated PCBs. The predicted fracture loads agreed reasonably well with the measured values, being within 12% and 15% of the measured forces for intermediate and high strain rates, respectively. The cause of the residual error was believed to be the inability of the model to account for changes in adherend rigidity which would affect the solder joint constraint and hence the extent of its plastic deformation.

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 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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.223
Teacher spread0.207 · 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 teacher head, not a consensus.

Study designOther design
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
Published2016
Admission routes1
Has abstractyes

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