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Record W4416883457 · doi:10.37665/wamyfvf34391

Development and Screening of Polymer Collar WLP1 Candidates for Lead-Free Solder Sphere Technology to Enhanced Reliability

2005· article· W4416883457 on OpenAlexaff
David Luttrull, A. P. Curtis, H. E. Pawlowski

Bibliographic record

VenueWafer-Level Packaging Symposium · 2005
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsAlpha Technologies (Canada)
Fundersnot available
KeywordsSolderingThermosetting polymerPolymerYield (engineering)Solder pasteCollarViscoelasticityReliability (semiconductor)

Abstract

fetched live from OpenAlex

ABSTRACT Polymer reinforcement at the solder bump (sphere) joint is called a “polymer collar.” This paper describes the affects of visco-elastic properties of two types of thermoset resin blends (J-series and C-series) on die yield for a polymer collar wafer level package (WLP) 1 using a lead-free process. The criteria for determining die yield are discussed and illustrated. In general, good polymer collar material performance is defined where first; the solder (sphere) effectively wets the copper pad. Secondly, the polymer forms a fillet or collar at the solder ball/die interface, without encapsulating the solder ball. Based on the viscoelastic data on several polymer candidates (from two different epoxy/flux families) as compared to die yield percentage, it is clear that minor changes in the ratios of components in the polymer candidates we tested have a huge effect. We have also concluded that a very low complex modulus [G* = ((G′) 2 + (G″) 2 ) 1/2 ] slope change over time (ΔG*/Δt) and temperature, produced by the thermoset reaction through the solder-melt temperature range, is required for good performance and thus, good die yield. Finally, this paper briefly highlights three different ways to inspect the solder spheres for proper wetting to the underlying pad and to inspect for polymer residue on the top of the solder spheres. The inspection techniques discussed herein are (1) optical (AOI), (2) SEM, and (3) laser/fluorescence scanning and imaging. This paper briefly discusses the advantages and drawbacks with each inspection method.

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 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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.249
Teacher spread0.235 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueWafer-Level Packaging SymposiumSame topicElectronic Packaging and Soldering TechnologiesFrench-language works237,207