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Record W4416885036 · doi:10.37665/srmqrka94151

Device Sensitivity to Post Solder Attach Processes

2011· article· W4416885036 on OpenAlexaff
Curtis Grosskopf, Paul Krystek, Giacomo Catucci, Michael Lauri, A. K. S. Ang, W. Löw, Matt Kelly

Bibliographic record

VenueSoldering and Reliability Conferences · 2011
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsIBM (Canada)
Fundersnot available
KeywordsSurface-mount technologySolderingElectronicsSMT placement equipmentPrinted circuit boardElectronic componentProcess (computing)Reliability (semiconductor)Electronic packaging

Abstract

fetched live from OpenAlex

ABSTRACT As the global electronics industry shifted to lead(Pb)-free card assembly processes, it identified groups of electronic devices that were damaged or had their long term reliability significantly diminished due to the higher temperatures needed to process Pb-free solders. The device families that were shown to be affected by Pb-free SMT (Surface Mount Technology) processes included: SMT aluminum capacitors; polymer aluminum capacitors; film capacitors; polymer tantalum capacitors; crystals; oscillators; fuses; inductors; transformers; non-solid state relays, LEDs (Light Emitting Diodes); and connectors. Devices shown to be affected by Pb-free wave solder included: SMT ceramic capacitors (in specific package sizes) and SMT tantalum capacitors when glued to back side of a card assembly, polymer tantalum capacitors; and connectors. To address this issue a new industry specification, J-STD- 075, “Classification of Non-IC Electronic Components for Assembly Processes” was jointly developed and released by Electronics Component Association (ECA), Association Connecting Electronics Industries (IPC) and Solid State Technology Association (JEDEC). J-STD-075 defines a methodology by which suppliers evaluate their devices against a worst case base solder process and then subsequently classifying the device as either ‘process sensitive’ or ‘not process sensitive’. J-STD-075 defines a base wave solder process and a base SMT reflow solder process, where the SMT process is linked to J-STD-020, “Moisture/Reflow Sensitivity Classification for Nonhermetic Solid State Surface Mount Devices”. IBM has established procedures for gathering J-STD-075 data from suppliers and has developed a tool for evaluating bills of materials to identify devices that have sensitivities to the soldering attach processes. These steps have helped IBM to safely transition to Pb-free card assembly. However, J-STD-075 does not cover processes to which an assembled card may be subjected after initial solder attach (SMT and solder wave/fountain). IBM has evaluated the post solder attach processes to which some of its assembled cards are subjected, and has documented the thermal excursions to which all devices on these assemblies would be exposed. It was determined that some processes exceed the thermal limits of a few device types. Some of the processes of concern include adhesive cure, encapsulant cure, moisture bake, and thermal cycling. Some of the device types that are sensitive to initial attach processes were also found to be sensitive to post solder attach processes. Some device types that are not soldered, but are instead socketed or hand soldered were also found to be sensitive to post solder attach processes. Button cell batteries, pin through hole (PTH) LEDs in an organic package, and PTH electrolytic capacitors are some of the device types that are more sensitive to post solder attach processes. In order to assure the overall quality and reliability of devices on a card assembly, it is important to identify those devices that are Process Sensitive, not just to initial attach (as covered by J-STD-075), but also to rework and other processes that will expose all devices on the assembly to card level thermal excursions. Once sensitive devices have been identified and the specific sensitivity data gathered, to effectively use that data, a procedure for storing and quickly retrieving it must be employed. The card design process should take into account this data to drive optimal device selection, so that the best assembly and post assembly processes can be developed and implemented to ensure long term reliability of the entire assembly.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.033
GPT teacher head0.247
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2011
Admission routes1
Has abstractyes

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