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Record W3135927460 · doi:10.1117/12.2584495

Supercoiled polymer-actuated pinch valve

2021· article· en· W3135927460 on OpenAlexaff
Konstantin L. Borissov, Henry Tran, John D. W. Madden

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdhesion, Friction, and Surface Interactions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPinchPolymerMaterials scienceComputer scienceMechanical engineeringEngineeringComposite material

Abstract

fetched live from OpenAlex

Supercoiled polymer (SCP) actuators have shown promising applicability as artificial muscles due to their low-cost, high strains (10%+), work density that is more than 100 x that of muscle, and non-hysteretic behavior. Here, we present a lightweight, low-cost, SCP-actuated valve that operates by pinching rubber tubing closed. The valve comprises a 3D printable frame and incorporates a pulley system, which functions to reduce the total linear dimensions of the device. The actuator mechanism is compatible with different tubing diameters and materials and, by nature of its design, is isolated from direct contact with the working fluid. Using 1/4”/6.3 mm inside diameter latex tubing, a flow rate of up to 88 L/h and a holding pressure of over 29.4 kPa are demonstrated. The valve is normally open and takes 10 seconds to close by running a current through the coiled, silver-coated nylon actuator. An empirical model of the system is developed and open-loop control incorporated, which effectively reduced valve activation time by 30%. Further developments are suggested to achieve a faster response and pumping action.

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 score0.002

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 head0.008
GPT teacher head0.208
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

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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same topicAdhesion, Friction, and Surface InteractionsFrench-language works237,207