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Record W2145993991 · doi:10.1109/ccece.2007.10

Thick SU-8 and PDMS Three-Dimensional Enclosed Channels for Free-Standing Polymer Microfluidic Systems

2007· article· en· W2145993991 on OpenAlexafffund
Stephanie Westwood, Seema Jaffer, Olha A. Lui, Bonnie L. Gray

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsMicrochannelMicrofluidicsFabricationMaterials sciencePhotoresistPolymerPressure dropDrop (telecommunication)OptoelectronicsLayer (electronics)PolydimethylsiloxaneNanotechnologyComposite materialMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

This paper presents the design, simulation, and fabrication of polymer 3D enclosed free-standing microchannels. These microchannels are designed to be combined with polymer interconnects for the eventual realization of modularly connected polymer microfluidic systems. Microchannels with a width of 200 mum, depth of 200 mum, and a channel length of 8400 mum were simulated using ANSYS CFD Flotran. Preliminary simulations with an input velocity of 0.02 m/s yielded an expected pressure drop along the microchannel of 52 Pa. PDMS and SU-8 microchannels were fabricated ranging in thicknesses from 200 mum to 300 mum, and a sacrificial process using thick photoresist (SC 1827) and structural SU-8 (SU-8 100) was developed for releasing the SU-8 enclosure layer. In addition, 200 mum to 300 mum thick SU-8 molds were employed for PDMS (Sylgard 184) processing. After bonding, the fabrication resulted in freestanding microchips in SU-8 or PDMS with enclosed microchannels that are compatible with microfluidic polymer interconnect.

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)0.000
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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

Citations6
Published2007
Admission routes2
Has abstractyes

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