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Record W4416885199 · doi:10.37665/srjodrw10699

Control of “Spalling” in SAC Pb-Free Solder Alloys when used with a Ni Substrate

2009· article· W4416885199 on OpenAlexaff
L. Snugovsky, Doug D. Perovic, J. W. Rutter, Polina Snugovsky

Bibliographic record

VenueSoldering and Reliability Conferences · 2009
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsHain Celestial (Canada)University of Toronto
Fundersnot available
KeywordsIntermetallicSolderingLayer (electronics)Substrate (aquarium)SpallAlloySolder paste

Abstract

fetched live from OpenAlex

ABSTRACT A basic feature of the formation of a solder joint is the occurrence of a single layer of intermetallic compound between the solder and the substrate on which the joint is made. However, under some conditions, such as repeated reflows, when a solder of the Pb-free SAC type is used with a nickel (or Ni(P)) substrate, a second layer of intermetallic compound is formed in the solder, near to but separated from the layer that is adjacent to the substrate. The appearance of this second layer of intermetallic compound is called “spalling” because it gives the impression that it was initially formed on the substrate and later displaced from that location by the introduction of a second intermetallic layer on the substrate. By consideration of the possible reactions that can occur during cooling of an SAC solder to which is added a small amount of Ni it is shown in this paper that spalling is accounted for as a nonequilibrium effect associated with a quasiperitectic reaction of the Cu-Ni-Sn alloy system. It is shown that the occurrence of spalling can be delayed to longer liquid holding times by an increase in the Cu content of the solder to a value greater than 0.6wt%. Attempts to control spalling by increasing the cooling rate of the solder to values as high as 4.7°C per second were not successful.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.214
Teacher spread0.201 · 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 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
Published2009
Admission routes1
Has abstractyes

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