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Record W4416884737 · doi:10.37665/ppuakob46324

Problems with Rose Testing Using Today’s Fluxes

2018· article· W4416884737 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePan Pacific Symposium · 2018
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPrinted circuit boardRosinSolderingSolder pasteWave solderingIsopropyl alcoholTest methodSurface-mount technologyReflow soldering

Abstract

fetched live from OpenAlex

ABSTRACT Shortly after the electronic circuit card replaced point to point wiring in the 1950’s, the reliability of manufactured circuit assemblies was directly linked to the amount of “freely” ionizable material remaining on the board following assembly because these residues in the presence of moisture and a voltage differential will undergo both chemical and dendritic electrochemical reactions resulting in rapid and catastrophic circuit failure. The resistance of solvent extract (ROSE) test was first developed in the 1960's as a method to quantify the amount of activated rosin flux residue remaining on a completed circuit assembly. To dissolve the rosin based flux, a mixture of isopropyl alcohol and de-ionized water was selected as the extraction solvent. The ROSE method quickly gained acceptance and was incorporated in the US military specification, Mil-P-28809 in 1971 and required that a sample board be pulled from normal production and a daily ROSE test performed. In 1994 the Mil-P-28809 requirement was dropped for US military contracts and the ROSE test was further defined and incorporated into the generally recognized industry set forth by the IPC. The original ROSE test method remains essentially unchanged since the mid 1970’s although the nature of soldering has changed significantly. In the 1980’s surface mount technology replaced the traditional wave soldering process. Cleaning changed significantly with the Montreal Protocol banning the use of most halogenated hydrocarbons used to clean circuit cards. This led to the introduction of low activity no-clean fluxes. Following the turn of the century, circuit manufacturing underwent another major soldering change, the introduction of lead free soldering alloys. Higher reflow temperatures required new changes to the fluxes, and that again changed the cleaning requirements. In October, 2017 the IPC issued changes to board ionic cleanliness standards effectively replacing mandatory ROSE testing with a new requirement upon the manufacturer to provide “objective evidence” that the cleaning process is producing a clean and reliable assembly. This means, if you have been using ROSE testing, you can continue to do so, or you can substitute other objective evidence of cleaning control. In part these changes were made because of concerns with the validity of the current IPC ROSE test. Some say it is no longer valid because most new flux residues are not soluble in the IPA/water extraction solvent. Others have concerns about contaminated board escapes allowed by sample testing versus 100% testing of all product. The new changes have allowed for much needed improvements in ROSE testing. The product designer and process engineer can now set new contamination limits, use new better suited extraction solvents, and integrate automatic testing into the assembly process. It is time to take a new look at the old reliable ROSE test. This Paper evaluates new automatic ROSE testing protocols that allow circuit manufacturers to completely integrate ionic cleanliness testing into the modern SMT production line without significant cost. This eliminates sampling labor and testing errors. This paper also evaluates the best extraction solvent choices from laboratory experimentation for today's flux choices, which surprisingly are not a mixture of IPA and water. Different protocols are needed and proposed for fluxes to be removed versus those not intended for removal. These changes are potentially very significant to the industry in that product yields can be improved and better controlled cleaning process will lower product recall and warranty costs.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.224
Teacher spread0.200 · 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