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Record W2605815908 · doi:10.1115/1.4036221

A Shape-Morphing Mechanism With Sliding Panels

2017· article· en· W2605815908 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Mechanisms and Robotics · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMorphingWorkspaceMechanism (biology)KinematicsComputer scienceCompliant mechanismActuatorRobotDegrees of freedom (physics and chemistry)SimulationEngineeringStructural engineeringArtificial intelligenceFinite element method

Abstract

fetched live from OpenAlex

Unlike a traditional yeaechanism, where typically only the pose of the moving platform is of significance, a shape-morphing mechanism requires additional provisions. Mainly, any covers or skin panels that enclose the mechanism have to conform to additional constraints to avoid interference and clashing of said covers and achieve certain shapes during morphing. This paper presents a new method for kinematic modeling and analysis of such six degree-of-freedom (DOF) shape-morphing mechanisms enclosed by a number of rigid sliding panels. This type of mechanism has applications in aircraft morphing, where the shape of the enclosing skin is of significant importance in the design. Based on traditional parallel robot kinematics, the proposed method is developed to model the motions of multisegmented telescopic rigid panels that are attached via additional links to the base and platform of a driving mechanism. When the robot actuators are locked, each panel will have 3DOFs. The DOFs are utilized to satisfy constraints among adjacent panels, such as maintaining parallelism and minimal gap. Through this modeling and analysis, nonlinear formulations are adopted to optimize orientations of adjacent sliding panels during motion over the workspace of the mechanism. This method will help design a set of permissible panels used to enclose the mechanism while remaining free of collision. A number of cases are simulated to show the effectiveness of the proposed method. The effect of increased mobility is analyzed and validated as a potential solution to reduce panel collisions.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.687
Threshold uncertainty score0.505

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 head0.223
Teacher spread0.207 · 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