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Experiment and Dynamic Model of Motor for Rotary-Screw-Driven Dispensing System

2012· article· en· W2085329973 on OpenAlexaff
Shu Zhen Liu, Yu Bao Zhang, Daniel Chen

Bibliographic record

VenueApplied Mechanics and Materials · 2012
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsUniversity of Saskatchewan
FundersNingbo University of TechnologyDepartment of Education of Zhejiang Province
KeywordsControl theory (sociology)Displacement (psychology)EncoderAngular displacementRotary encoderRotational speedEngineeringFilter (signal processing)VoltageProperty (philosophy)Computer scienceMechanical engineeringAcousticsPhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

Motor plays an important role in the dynamic property of the rotary-screw-driven dispensing system. Dynamic model of the motor was developed and validated in this paper. The output angle displacement and input voltage were measured from photoelectric digital encoder which is used to measure the angle displacement of the motor. In order to realize data smooth processing, Alpha-Beta filter was used. Discrete model of the motor was developed based on the Least Square Method and Model Selection criterion. Computational studies show that the system is equivalent to second order system. Moreover, the model was validated based on the experiment results under the different applied pressure and angular speed of motor. It is revealed that there is a good fit between experiment data and model simulation.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.697
Threshold uncertainty score0.360

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 head0.011
GPT teacher head0.206
Teacher spread0.194 · 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 designBench or experimental
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

Citations3
Published2012
Admission routes1
Has abstractyes

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