Solder Powder Characteristics and Their Impact on Rheological Behavior of Solder Pastes
Bibliographic record
Abstract
ABSTRACT Solder paste is a key material being widely used in electronics assembly lines of surface mount and semiconductor packaging. To assemble miniature components, advanced solder pastes with fine particles sizes (Type 5, 6, 7, and 8) are required. An in-depth understanding of different properties of solder pastes is essential to develop these solder pastes. Among different properties, the rheology of solder paste is the one that controls the quality of paste deposition for various paste deposition techniques i.e. stencil printing, needle dispensing, and jet printing. This paper describes our latest results on the characterization of solder powders. More specifically, the surface oxide layer is characterized using Auger Electron Spectroscopy (AES) and Transmission Electron Microscopy (TEM). Also, powders were admixed with fluxes and the rheological behaviour of pastes was studied. In addition to the initial viscosity of the pastes, the stability of the viscosity was also evaluated. The relation between powder characteristics and the rheological behaviour of the pastes is described. The knowledge obtained in this paper can be applied to design advanced solder pastes with fine powders.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".