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Record W4416880969 · doi:10.37665/smzppki40465

Spherical Bend Test Failure Criteria Correlation in Compliant Systems

2014· article· W4416880969 on OpenAlexaff
John McMahon, Brian Standing, Meisam Salahi

Bibliographic record

VenueSMTA International · 2014
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBall grid arrayPrinted circuit boardSample (material)Process (computing)Test dataProcess capabilityGridCharacterization (materials science)New product development

Abstract

fetched live from OpenAlex

ABSTRACT The incidence of Pad Crater damage in Pb-free assemblies continues to be a concern for many manufacturers and end users of electronic assemblies. Some package designers now routinely include non functional pins at the corners of fine pitch area array components. There are various other mitigation techniques in common use depending on the industry sector. Several Telecom sector companies now routinely include some level of mechanical material or application characterization in their ongoing process verification and package introduction procedures. This activity is required because qualification or characterization data is not available. The characterizations that have been completed are specific to package type or design, board resin system and usually even board thickness. In an effort to generate more data an investigative team from the High Density Packaging Users Group (HDPUG) is working to rank many materials by performance using a commonly available over molded ball grid array (BGA) package and a cost effective board thickness. These design parameters were required due to the large number of laminate resin systems in the study. However, the geometry and compliance of these sample assemblies will be quite different from the material combinations that are commonly problematic in actual manufacturing and service life conditions. This paper describes a test program designed to investigate the correlation between these new sample geometries and existing data generated with the investigator’s established test methodology and product representative material sets. Additionally we will examine the correlations between our existing test methods and those employed by HDPUG. The study includes one widely implemented filled epoxy resin system and two other common mid and low loss materials for which test data already exists. The intent is to highlight and separate differences driven by material sets and those induced by test methodology.

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)0.003
metaresearch head score (Gemma)0.015
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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
Published2014
Admission routes1
Has abstractyes

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