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Record W4408435133 · doi:10.1117/12.3052882

Evaluating post-anneal stretch on twisted and coiled actuators for compression therapy in textiles

2025· article· en· W4408435133 on OpenAlexaff
Sukhneet Dhillon, Ying Li, Anastasia Vogl, Adriana J. Cowan, Rafaela Zamataro, Kentaro Takagi, John D. W. Madden

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsActuatorMaterials scienceCompression (physics)Composite materialMechanical engineeringComputer scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Coiled nylon 6,6 actuators are compact (600-µm diameter), have reversible contractions between 5-20%+, and exhibit a work density 100x greater than that of human muscle. This study investigates the effect of post-anneal stretching of coiled nylon actuators on compression pressure in Nomex-based prototypes designed for compression therapy. Coiled nylon actuators were integrated into three prototypes, each with actuators stretched by 14%, 28%, and 42%. The prototypes were tested on solid and silicone calf models to assess pressure generation. Results showed that a 14% stretch provided consistent compression, while higher stretches led to reduced performance or mechanical failure. These findings contribute to the development of actuator-integrated compression textiles.

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 score0.136
Threshold uncertainty score0.999

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 head0.071
GPT teacher head0.409
Teacher spread0.338 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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