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Record W4416884999 · doi:10.37665/srwxhzy87695

Reactions In The Sn Corner of the Cu-Sn-Zn Alloy System

2010· article· W4416884999 on OpenAlexaff
Doug D. Perovic, L. Snugovsky, J. W. Rutter, Polina Snugovsky

Bibliographic record

VenueSoldering and Reliability Conferences · 2010
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEutectic systemTernary operationAlloySolderingCopperMixing (physics)Ternary numeral system

Abstract

fetched live from OpenAlex

ABSTRACT In view of potential damage to heat sensitive electronic components during soldering at the high temperatures required for some Pb-free solders, such as the SAC alloys, it appears likely that more use will be made of solders based on the much lower melting Sn-Zn eutectic alloy. Consequently, it is of interest to determine what reactions can occur in ternary systems derived from the Sn-Zn eutectic. One such system is Cu-Sn-Zn. This paper reports a number of experimentally determined reactions that occur in Sn-rich alloys of this ternary system. In the expectation of a possible connection between the Sn- Cu6Sn5 and Sn-Zn binary eutectics, several alloy compositions were selected along a possible joining path. Samples of each were solidified unidirectionally at a very slow rate, approximating freezing with complete mixing in the liquid (the “Solidification Path” technique). This procedure allows detection of reactions by the change in the phases frozen out with change in composition of the liquid due to segregation. Three quasiperitectic reactions (U1-U3) and a ternary eutectic reaction were found: U1: L+Cu6Sn5↔CuZn+Sn U2: L+CuZn↔Cu5Zn8+Sn U3: L+Cu5Zn8↔CuZn4+Sn E: L↔(Sn)+(Zn)+CuZn4 It is shown theoretically and confirmed experimentally that each of these three quasiperitectic reactions can produce, on a copper substrate, the undesirable effect known as “spalling” in which multiple layers of different phases are formed at the solder-substrate interface during freezing.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.363
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.013
GPT teacher head0.222
Teacher spread0.209 · 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.

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
Published2010
Admission routes1
Has abstractyes

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