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Record W2037309027 · doi:10.1088/1748-3182/8/4/044002

Anisotropic dry adhesive via cap defects

2013· article· en· W2037309027 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

VenueBioinspiration & Biomimetics · 2013
Typearticle
Languageen
FieldEngineering
TopicAdhesion, Friction, and Surface Interactions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAdhesiveMaterials scienceComposite materialAdhesionAnisotropyShear (geology)Displacement (psychology)Structural engineeringOpticsLayer (electronics)Engineering

Abstract

fetched live from OpenAlex

We demonstrate how introducing a deliberate defect on the overhanging caps of strongly adhering mushroom shaped dry adhesive fibers can produce directional adhesion behavior. We find that the shape and location of this defect controls both the total adhesion force and the degree of directionality for these bio-inspired adhesives. Linear beam theory is used to demonstrate how the application of a shear load to a fiber in tension can create a small compressive load to an asymmetric crack, thereby delaying adhesion failure and producing directional adhesion, and the theory is confirmed with finite element models and empirical data. Anisotropic adhesives have been fabricated and tested and can demonstrate normal adhesion force up to ~250 kPa with a shear displacement of 15 µm away from the defect and as small as ~5 kPa when sheared the same amount towards the defect.

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 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 score0.488
Threshold uncertainty score0.999

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)0.0010.002

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 head0.199
Teacher spread0.190 · 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