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Record W4389641359 · doi:10.23977/jemm.2023.080410

Dynamic Modeling of Three-Degree-of-Freedom Hydraulic Wrist for Mine

2023· article· en· W4389641359 on OpenAlexvenueno aff
Yifan Liu

Bibliographic record

VenueJournal of Engineering Mechanics and Machinery · 2023
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsnot available
Fundersnot available
KeywordsJacobian matrix and determinantKinematicsControl theory (sociology)WristScrew theoryControl engineeringComputer scienceRobotEngineeringSimulationMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

Hydraulic manipulator is a kind of high precision mechanical device, which plays an important role in industrial production. Wrist structure is an indispensable part of common hydraulic manipulator, and its performance directly determines the overall working condition and performance of robot actuators. Aiming at the hydraulic wrist system, the kinematics modeling is carried out by using the space coordinate transformation theory and the robot modeling theory. The Jacobian matrix of the robot and the Jacobian matrix of the robot are solved. According to the rigid body dynamics principle of the serial manipulator and the Lagrange method, the dynamic model of the hydraulic wrist is established. The Newton-Euler method is suitable for the modeling of the traditional connecting rod manipulator. The disadvantage of the Lagrange method is that the calculation amount is large when modeling the multi-degree-of-freedom system. The object of this paper is the hydraulic wrist, so the Lagrange method is used to model the wrist.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.225
Teacher spread0.204 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2023
Admission routes1
Has abstractyes

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