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Record W3095164542 · doi:10.1115/detc2020-22039

Design, Mobility and Kinematics Analysis of a Novel Reconfigurable Continuum Shape Morphing Mechanism

2020· article· en· W3095164542 on OpenAlexaff
Yinjun Zhao, Yingzhong Tian, Long Li, Guangjie Yuan, Fengfeng Xi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMorphingKinematicsTrussComputer scienceMechanism (biology)Degrees of freedom (physics and chemistry)AerospaceTopology (electrical circuits)Motion controlControl theory (sociology)EngineeringStructural engineeringRobotPhysicsArtificial intelligenceAerospace engineeringClassical mechanicsControl (management)

Abstract

fetched live from OpenAlex

Abstract This paper presents a novel design for morphing mechanisms that combine the passive lockable reconfigurable variable geometry truss manipulator (VGTM) and the active parallel compliant mechanism. The structure of the VGTM is in a parallel-serial structure and its shape can be fully controlled just by using two active panels. This mechanism is suitable for the aerospace application due to its light, compact structure, load-carrying ability and can achieve multiple degrees-of-freedom (DOFs) deformation. The mobility and topological configuration of the mechanism are thoroughly analyzed. To make the moving process simple and efficient, a control strategy combining the approximate motion mode and the precise motion modes was proposed. The kinematic models for the multi-step motion are established and all solved analytically. At last, a prototype was fabricated to show the structure and the application on morphing wings.

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 score0.683
Threshold uncertainty score0.407

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 head0.038
GPT teacher head0.227
Teacher spread0.188 · 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
Published2020
Admission routes1
Has abstractyes

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