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Record W2613098032 · doi:10.5539/jas.v9n6p221

Optimization Design and Simulation for Pricking Mechanism of Off-Centre Embedded Seed Metering Device

2017· article· en· W2613098032 on OpenAlexvenueno aff
Mutong Li, Fujun Zhou, Tianyu Li, Wei Yuan

Bibliographic record

VenueJournal of Agricultural Science · 2017
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSwingEccentricity (behavior)Rotation (mathematics)Mechanism (biology)Connecting rodSimulationMechanical engineeringSoftwareBarrel (horology)PendulumEngineeringComputer sciencePhysics

Abstract

fetched live from OpenAlex

In order to improve the quality of pricking hole and reduce throwing soil as merering the field, this paper presents a method of off-centre embedded pricking mechanism operation. Established a mathematical model of pricking hole mechanism, preparation of computer aided analysis platform by using VB software, and the simulation effects are buried and the effects of the eccentricity, rocker arm length, pricking hole connected with the handle, the swing rod length, length the pricking hole angle and swing arm and the connecting rod handle parameters related to the initial position. One group of optimization parameters: radial eccentricity 50mm, pricking hole arm length 220 mm, connecting handle length 135 mm, pendulum length 120 mm, pricking hole arm and the connecting handle 55 degree angle, pendulum hinge rotation center end and rocker wire length 130 mm, connecting with the horizontal angle of 5 degrees. Through the verification, pricking hole mechanism after optimization has been a significant improvement in reducing throwed soil problems and improve the pricking quality.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.185

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 communication0.0000.001
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 head0.021
GPT teacher head0.252
Teacher spread0.231 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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