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Record W2068027576 · doi:10.1115/detc2011-48261

A Spatial Spring-Loaded Cable-Loop-Driven Parallel Mechanism

2011· article· en· W2068027576 on OpenAlexafffund
Hanwei Liu, Clément Gosselin, Thierry Laliberté

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsWorkspaceActuatorSpring (device)KinematicsControl theory (sociology)Mechanism (biology)Superposition principleStiffnessEquations of motionComputer scienceStructural engineeringTopology (electrical circuits)EngineeringMathematicsMathematical analysisPhysicsClassical mechanics

Abstract

fetched live from OpenAlex

A novel architecture of spatial spring-loaded cable-loop-driven parallel mechanism is introduced in this paper. In this mechanism, cable-spool actuating systems and actuation redundancy are avoided. By attaching springs to the cable loops, three degrees of freedom for spatial displacement can be controlled using only three actuators. This paper presents the inverse kinematics, the static equilibrium equations and the workspace analysis. Because all these equations are obtained based on the cable segment lengths, many square roots appear in the equations. The boundary equations for different arrangements, i.e., preload, non-zero stiffness and external forces, are obtained separately in order to simplify the analysis. The boundary equations of each cable force for any situation can be obtained by combining the equations based on the matrix superposition principle. It is verified that the mechanism has a significantly large workspace within which the cables and the springs can be maintained in tension compared to a standard mechanism actuated with three motors.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.775
Threshold uncertainty score0.999

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)0.0020.000

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 head0.020
GPT teacher head0.186
Teacher spread0.166 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations7
Published2011
Admission routes2
Has abstractyes

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