Effect of Solder Paste Volume on Thermomechanical Reliabilty
Bibliographic record
Abstract
ABSTRACT Solder paste deposition is a key aspect in the manufacturing assembly of electronics. A significant number of board assembly related defects can be attributed to the solder paste deposition process. A consistent solder paste deposition process promotes a smooth manufacturing assembly process and can address coplanarity anomalies in components used in SMT. It is postulated that solder joint reliability is dependent on a number of factors including solder paste volume. Unfortunately there is little empirical data published (available) to substantiate this claim. To address this need this paper investigates the effect of the volume of solder paste deposited on the reliability of the resulting solder joints after reflow. Thermomechanical testing (accelerated thermal cycling) was used to determine the cycles to failure for a number of area array components with eutectic tin-lead balls ranging in pitch from 1.0 mm to 0.5 mm. Included in this investigation were two cases where BGA and LGA versions of the same component were compared. Solder paste volume was measured using a 3D automated laser inspection tool across all pads on each component type. The effect of natural variation in solder volume on cycles to failure was studied and for 0.5 mm pitch components the effect of two aperture designs was determined. The investigation was performed as part of a larger initiative to determine the manufacturability and reliability of a number of unique area array packages assembled on a simulated mixed technology test vehicle named Millennium Olivia TV2.
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 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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".