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Record W4416877275 · doi:10.37665/smdfucf10886

Thermal Warpage of Flip-Chip Plastic Ball Grid Array Component: Experiment and Modeling

2010· article· W4416877275 on OpenAlex
Alireza Sahami Shirazi, Hua Lu, A. Varvani‐Farahani

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSMTA International · 2010
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBall grid arrayThermalInverseGridComponent (thermodynamics)Experimental dataBall (mathematics)Inverse method

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.237
Teacher spread0.222 · 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