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Record W2742698428 · doi:10.1109/ectc.2017.89

Fine Pitch Interconnect Rework for Lead-Free Flip Chip Packages

2017· preprint· en· W2742698428 on OpenAlexaff
M. Kanso, David Danovitch, E. Nguena, Richard N. Langlois, Christian Bergeron

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsIBM (Canada)Institut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
Fundersnot available
KeywordsReworkFlip chipInterconnectionMaterials scienceSolderingInterposerThermal copper pillar bumpComputer scienceEmbedded systemLayer (electronics)Composite materialAdhesive

Abstract

fetched live from OpenAlex

Multiple device configurations, especially in 2.5D or 3D systems, are intimately tied to the successful implementation of very fine pitch, flip chip interconnection in order to optimize their potential for higher performance and smaller form factor. At the same time, such pitch reduction and increased I/O count create greater challenges to the interconnection process and its resulting reliability, imposing a greater focus on the overall process definition for these systems in a package, including the need to develop a suitable process to remove and replace individual defective device, more commonly known as device rework. However, the aforementioned trends in interconnect dimensions present significant challenges to the rework process as well, rendering conventional approaches difficult if not practically obsolete. It was therefore the goal of this study to investigate a localized thermal head separation approach for the rework of very fine pitch 2.5D/3D configurations that would obviate the need for solder redress/replenishment while preserving the overall integrity of both reworked and adjacent device. Adapting standard commercial thermo-compression bonding (TCB) tools, heating and separation parameters were investigated for removing an 11.1mm × 8.7mm device comprising Cu pillar/Pb-free solder interconnects from its underlying active TSV interposer assembled onto an organic laminate substrate. Initial joining parameters of the device (TCB versus furnace reflow bonding), peak temperature and holding times were varied to understand the sensitivity of the thermal separation process. Separation quality was characterized from the perspectives of fracture mode, separation metallurgy and residual pad height distribution. Results demonstrated that, while optimum conditions could be obtained for both shear and tensile solder separation approaches, the latter afforded a greater parameter window to avert undesirable separation interfaces (TiW-passivation) without introducing a solder dragging effect. However, should the issues of TiW-die passivation separation be resolved using functional die or thermal mismatch mitigation, the shear approach, as supported by Instron strength measurements, could be favorable to separate the interconnects at a lower force than tensile separation at temperatures below liquidus, thus avoiding the solder dragging issue. Height distribution measurements, while limited by the contact profilometer means combined with the uneven solder distribution on individual pads, appeared sufficiently consistent, at optimized separation parameters, to allow die replacement without the need for solder replenishment at the die site. While preliminary die replacement tests to validate this hypothesis showed a greater joining sensitivity of the reworked sites compared to non-reworked sites, means to improve oxide reduction and alignment were shown to improve and even correct joining issues, paving the way for future optimization of this very fine pitch, flip chip rework 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.031
GPT teacher head0.268
Teacher spread0.237 · 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 designNot applicable
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

Citations1
Published2017
Admission routes1
Has abstractyes

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