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Record W4416885289 · doi:10.37665/srgogts63540

PTH Connector Temperature Mass Study: Plastic Housing Survival After Elevated Lead-Free Process Temperature Exposures

2010· article· W4416885289 on OpenAlexaff
Matthew Kelly, Curtis Grosskopf, Paul Krystek, Brian Littell, Craig Hamilton, Jose Traya, R. Trivedi

Bibliographic record

VenueSoldering and Reliability Conferences · 2010
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsIBM (Canada)
Fundersnot available
KeywordsReworkCable glandBall grid arrayReliability (semiconductor)SolderingWork (physics)

Abstract

fetched live from OpenAlex

ABSTRACT As the industry continues to gain experience building high complexity, Storage and Server class lead-free hardware systems, new reliability risks continue to be identified and studied. Questions related to the survival and integrity of certain pin through hole (PTH) connector plastic housing materials have arisen due to observations of connector housing melting, form, fit, and function changes after exposure to elevated temperature lead-free processing. Further investigation into these observations revealed that a gap in understanding of allowable maximum peak temperatures and time at temperature during actual lead-free PTH wave soldering and solder fountain rework operations was present within the industry. Building upon earlier work in 2002 to characterize time and temperature data for various lead-free BGA devices [1], a new temperature mass study was crafted to study processing effects on various pinthrough-hole connector systems. This paper discusses early connector melting observations, time/temperature characterization approach, test vehicles employed, and final results obtained during primary attach wave and solder fountain rework lead-free processing. Resulting data and discussion covers various plastic housing materials and multiple connector technlogies.

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)0.000
metaresearch head score (Gemma)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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
Published2010
Admission routes1
Has abstractyes

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