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Record W2174188839 · doi:10.48550/arxiv.0705.1217

The Design of a Novel Prismatic Drive for a Three-DOF\n Parallel-Kinematics Machine

2007· preprint· W2174188839 on OpenAlexaff
Damien Chablat, Jorge Angeles

Bibliographic record

VenuearXiv (Cornell University) · 2007
Typepreprint
Language
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsKinematicsMechanism (biology)RackMachiningBall screwMechanical engineeringMachine toolPinionTransmission (telecommunications)Computer scienceParallel manipulatorEngineeringBall (mathematics)Machine designPhysicsMathematicsElectrical engineering

Abstract

fetched live from OpenAlex

The design of a novel prismatic drive is reported in this paper. This\ntransmission is based on Slide-O-Cam, a cam mechanism with multiple rollers\nmounted on a common translating follower. The design of Slide-O-Cam was\nreported elsewhere. This drive thus provides pure-rolling motion, thereby\nreducing the friction of rack-and-pinions and linear drives. Such properties\ncan be used to design new transmissions for parallel-kinematics machines. In\nthis paper, this transmission is optimized to replace ball-screws in\nOrthoglide, a three-DOF parallel robot optimized for machining applications.\n

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.143
GPT teacher head0.227
Teacher spread0.083 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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