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Record W4416883221 · doi:10.37665/ppxnchk78425

Design Challenges in SMT Terminal Block Design

2002· article· W4416883221 on OpenAlexaff
Jonathan France

Bibliographic record

VenuePan Pacific Symposium · 2002
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsCanadian Anthropology Society
Fundersnot available
KeywordsSurface-mount technologyCable glandFootprintSolderingCompatibility (geochemistry)Block (permutation group theory)Component (thermodynamics)Mount

Abstract

fetched live from OpenAlex

ABSTRACT Terminal block manufacturers have to take into account many design challenges when developing products for surface mount applications. One of the principal design issues relates to the mechanical strength of the connector. Traditional through hole applications for wave soldering processes have a high degree of reliability for board retention, an advantage that is lost in true surface mount applications. The higher temperatures associated with reflow soldering can exacerbate board warpage raising co-planarity issues. Component raw materials must also be selected with exposure to high temperatures in mind. The automated nature of SMT assembly lines poses challenges in component packaging, height and footprint for compatibility with pick and place machines. These and other design considerations must be taken into account for SMT applications; it is more than just a question of shortening the pins, using high temperature plastic, and then calling the connector reflow compatible.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.065
GPT teacher head0.225
Teacher spread0.160 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2002
Admission routes1
Has abstractyes

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