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Record W2046856517 · doi:10.1080/00218464.2013.749088

Adhesion of a Micro Double Cantilever Beam Driven by Capillary Forces

2013· article· en· W2046856517 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Adhesion · 2013
Typearticle
Languageen
FieldEngineering
TopicAdhesion, Friction, and Surface Interactions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCapillary actionCantileverMaterials scienceAdhesionBeam (structure)Dimensionless quantityCapillary numberShear forceMeniscusMechanicsComposite materialDeformation (meteorology)OpticsPhysics

Abstract

fetched live from OpenAlex

Capillary forces present during the manufacturing and operation of microelectromechanical structures have been shown to cause collapse of these structures. Once collapsed these structures may permanently adhere together. In this paper we study the adhesion of a microstructure represented by a double cantilever beam (DCB); such adhesion is driven by both the capillary forces from a liquid droplet located between the DCB and the adhesion forces between the solids. The DCB is modeled using both a beam theory that accounts for geometrical nonlinearity and the linearized beam theory. This model rigorously couples DCB deformation, capillary forces, meniscus movement and adhesion, and reveals four dimensionless parameters that govern the adhesion problem. How changes in these parameters influence the capillary forces, the length of the contact zone, and the contact force is discussed in detail.

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 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 score0.097
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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