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Record W2474673437 · doi:10.1109/tdmr.2016.2582750

Load Sharing Between Discrete Solder Joints in Bending: Effect of Spacing and Joint Properties

2016· article· en· W2474673437 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Device and Materials Reliability · 2016
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsJoint (building)SolderingFinite element methodMaterials scienceBendingStructural engineeringCantileverMicroelectronicsStress (linguistics)Surface-mount technologyStiffnessBending stiffnessComposite materialEngineering

Abstract

fetched live from OpenAlex

The fracture loads of copper-solder-copper double cantilever beam (DCB) specimens containing two discrete solder joints were measured and found to be maximum at a certain characteristic joint spacing. A finite-element model (FEM) showed that this corresponded to a minimization of the solder peel stress and an optimal load sharing among the two joints. This behavior was also analytically modeled using both a continuous foundation model and a simplified discrete foundation model, which isolated the effects of joint geometry and the bending stiffness of the solder and substrates. The model predictions of the characteristic joint spacing for both DCB and three-point bending configurations were satisfactorily compared with the FEM and the experimental data. The proposed approach is useful in predicting the load sharing among the multiple solder joints typical of surface mount microelectronic devices and in designing joint with maximum strength.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.228
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