Thermal Warpage of Flip-Chip Plastic Ball Grid Array Component: Experiment and Modeling
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT This paper presents the methodology and application examples that use warpage measurement data to support the manufacturing focused effort for evaluating thermal behaviour of flip-chip plastic ball grid array (FC-PBGA) component. A Hybrid Experimental Analytical Inverse Method (HEAIM) is devised, assisted by a newly developed non-local two-dimensional warpage model, to identify effective parameters for the assessments of component performance in board level assembly process. Warpage and other thermo-mechanical characteristic parameters of up to six types of the packages varying slightly with design, constituent material or manufacturing home are evaluated and the values of them are used as performance indicators/criteria in the assessment of these packages. Due to the analytical nature of the model the output of the evaluations can be efficiently extrapolated and used in the prediction of similar class of components with different designs or assembled with different processing technologies.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it