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Record W4416877726 · doi:10.37665/smbdudv76173

A Study of Copper Dissolution During Lead Free PTH Rework Using a Thermally Massive Test Vehicle

2006· article· W4416877726 on OpenAlexaff
Craig Hamilton, Polina Snugovsky, Matthew Kelly

Bibliographic record

VenueSMTA International · 2006
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsIBM (Canada)
Fundersnot available
KeywordsReworkDissolutionAlloySolderingCopperProcess (computing)Process window

Abstract

fetched live from OpenAlex

ABSTRACT The process of reworking a lead-free (Pb-free) pin-through-hole (PTH) connector using conventional solder fountain equipment presents a number of new challenges and issues which require resolution. Most importantly, it has been determined that the operating process window for a solder fountain rework, using a Sn-Ag-Cu (SAC) based alloy is substantially smaller when compared to the traditional 63Sn-37Pb (Sn-Pb) process. The maximum allowable cumulative contact time for which a PCB is exposed to molten solder during a SAC405 PTH rework has been reduced by up to 50% when compared to a typical Sn-Pb rework. The reduction in the allowable contact time is primarily due to increased copper (Cu) dissolution rates observed with SAC based Pb-free alloys at elevated process temperatures. The objective of this study was to determine both the Cu dissolution rates as well as to establish an optimized PTH rework process window and operating parameters using a Sn-Ag-Cu alloy to rework a complex PCB, as found in server or storage applications. Further efforts (such as studying alternate Pb-free alloys) were pursued to attempt to increase the allowable process window (or maximum allowable contact time) during PTH rework. This paper includes details of the experiments performed to study the phenomenon of Cu dissolution. Testing was performed using an OEM’s actual product as the test vehicle, which is thermally massive in nature. In Phase 1, a design of experiment (DOE) was performed to identify the significant factors influencing the rate of Cu dissolution occurring during the Pb-free PTH rework process using a Sn-3.8Ag-0.7Cu (SAC405) alloy. The factors included in the DOE were preheat temperature, pot temperature and contact time. In addition to determining the significant factors, average Cu dissolution rates as well as recommended inspection/analysis techniques and visual indicators of Cu dissolution were determined. Furthermore, in Phase 2, a DOE was performed to study and compare the dissolution rates of various Pb-free alloys including, Sn-3.8Ag-0.7Cu (SAC405), Sn-3.0Ag-0.5Cu (SAC305) and Sn-0.7Cu-0.05Ni in order to potentially expand the process window. Each Pb-free alloy was compared to a 63Sn-37Pb (Sn-Pb) control alloy. Lastly, the effects of solder flow rate on Cu dissolution will also be discussed in this paper.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.244
Teacher spread0.229 · 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
Published2006
Admission routes1
Has abstractyes

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