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Record W2592908002 · doi:10.1109/eptc.2016.7861578

Modelling solder extrusion using J-integral method

2016· article· en· W2592908002 on OpenAlexaff
Cheryl Selvanayagam, Teng Di Sheng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsSolderingMaterials scienceExtrusionStrain energy release rateComposite materialSubstrate (aquarium)Fracture mechanicsStack (abstract data type)Work (physics)Mechanical engineeringComputer scienceEngineering

Abstract

fetched live from OpenAlex

Solder extrusion is a phenomenon where molten solder fills a crack in the solder resist during reflow, causing a short failure. FEA was used to first understand this phenomenon, and then investigate the effect of die warpage, presence of stacked via and substrate CTE on solder extrusion risk. A 2D crack propagation model was developed. This model assumes the presence of an initial crack and calculates the propensity of the crack to grow using the J-integral method. The J-integral is equivalent to the energy release rate. Fracture can be predicted by comparing calculated values of J-integral to a critical value for the material being evaluated. This work is important because in the future it can be extended to predict solder extrusion risk before the first packages are built, taking into account factors such as stacked vias, copper plane placements, substrate material properties, size, and warpage. In addition, this model can be used to optimize locations of 3-stack vias and copper planes, in compliance with electrical design.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.035
GPT teacher head0.263
Teacher spread0.227 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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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