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Record W4408542721 · doi:10.1016/j.eng.2025.03.015

Rotary Three-Dimensional Braider Design Method Based on the Average Cutting Circle Strategy

2025· article· en· W4408542721 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

VenueEngineering · 2025
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing and 3D Printing Technologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEngineering drawingMechanical engineeringComputer scienceMathematicsEngineeringGeologyStructural engineering

Abstract

fetched live from OpenAlex

Three-dimensional (3D) braided composites have significant potential for use in engineering structural materials. However, conventional 3D braiding machines are insufficient for designing composites with complex geometries. This paper proposes a programmable design methodology for 3D rotary braiding machines using circle-cutting and combination strategies. By introducing varying numbers of incisions on the circle, a diverse range of horn gears can be designed. Different combinations of these cut-circles allow the horn gears to be assembled into various 3D rotary braiders. The parametric equation for the braider plate is derived, showing that a combination strategy involving two cut-circles is feasible for braider design, whereas integrating three cut-circles simultaneously is impossible for a single machine. The construction of an automatic 6-3 type 3D braiding machine demonstrates the effectiveness of the proposed design strategy. This flexible braider design approach provides a practical solution for producing 3D braided composites with complex geometries.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.927
Threshold uncertainty score0.760

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 head0.016
GPT teacher head0.225
Teacher spread0.209 · 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