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Record W2095166879 · doi:10.1115/imece2010-38790

A Method for Bonding PDMS Without Using Plasma

2010· article· en· W2095166879 on OpenAlexaff
C. Dianne Martin, Aarash Y. N. Sofla

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolydimethylsiloxaneMaterials scienceSilanesAdhesionComposite materialHydrochloric acidChlorineAlkylChemical engineeringSilaneChemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

The vapor-assisted treatment constitutes a simple and inexpensive method to increase the adhesion strength of polydimethylsiloxane and glass without using plasma. In this method, the targeted PDMS-glass sample is exposed to a vapor in an enclosed container for a certain time. Different chemicals were tested as possible vapor sources. No increase in the adhesion strength of PDMS-glass samples was observed when silanes without chloro functional groups were used. On the other hand, all alkyl trichlorosilanes tested in this study led to permanent bondings. In addition, an increase in the strength of the PDMS-glass adhesion was obtained with di- and monochlorosilanes as well as with hydrochloric acid solution. These results experimentally demonstrate that the hydrogen chlorine gas assists with the PDMS-glass bonding, making the vapor-assisted treatment a method with multiple applications in both small scale laboratory research and large scale manufacturing processes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.056
GPT teacher head0.351
Teacher spread0.296 · 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.

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

Citations3
Published2010
Admission routes1
Has abstractyes

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