Evaluating the Manufacturability and Reliability of New Connector Designs
Bibliographic record
Abstract
ABSTRACT As electronic packages decrease in size and pitches decline, daughter cards have become popular methods for creating “islands of density” on larger boards as a means of simplifying the motherboard and reducing their cost. Connector suppliers have responded to this trend by creating BGA type board-to-board connectors. Further, to eliminate the need to wave solder connectors and simplify the process, BGA connectors and press fit connectors have been used. However, there is a need to study the manufacturability of these new connectors and generate full second-level reliability data. This paper will show how test vehicles have been designed to allow these connectors to be evaluated for both manufacturability and reliability, and will outline how IPC-9701 has been used as a guideline in developing test plans. The “Metropolis” test vehicle will be presented, which incorporates BGA mezzanine connectors, a BGA mounted socket, and press fit connectors. Design features included in the “Metropolis” cards to facilitate the planned testing will be discussed. The assembly results for the test vehicle, including yield data, will be reviewed, and future deliverables for the project, such as reliability testing and lead free assembly, will be discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".