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Type Synthesis of Single-DOF Multi-Loop-Coupled Planar Continuum Morphing Mechanisms

2024· article· en· W4401538178 on OpenAlexaff
Jieyu Wang, Yuxiang Li, Yingzhong Tian, Fengfeng Xi, Guangbo Hao, Yinjun Zhao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDynamics and Control of Mechanical Systems
Canadian institutionsToronto Metropolitan University
FundersNational Natural Science Foundation of China
KeywordsMorphingPlanarComputer scienceLoop (graph theory)Control theory (sociology)Topology (electrical circuits)MathematicsControl (management)Computer visionArtificial intelligenceComputer graphics (images)Combinatorics

Abstract

fetched live from OpenAlex

This paper investigates a single degree-of-freedom (DOF) multi-loop-coupled planar continuum morphing mechanism (MPCMM), which can be used in broad application prospects in fields such as robotics, aerospace, and biomedical devices. The mechanism is proposed based on the generalized kinematic chains. The design process mainly includes determining the design requirements, selecting the generalized kinematic chains based on the design requirements, modifying the chains, and choosing the most appropriate chain to construct MPCMM. In addition, the vector equation method is used to analyze the mechanisms. Finally, the MPCMM is applied to a variable camber wing trailing edge.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.547

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 head0.012
GPT teacher head0.200
Teacher spread0.187 · 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.

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
Published2024
Admission routes1
Has abstractyes

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