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Record W2742099967 · doi:10.1139/tcsme-2012-0001

STRESS OPTIMIZATION OF COUPLING PINS FOR LARGE DIAMETER REAMING TOOL OF COAL-BED METHANE WELL

2012· article· en· W2742099967 on OpenAlexvenueno aff
Shulin Liu, Rui Liu, Xuehong Zhang, Jicheng Liu, Hai-Tao Jiang

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2012
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsCoupling (piping)Parametric statisticsConstraint (computer-aided design)Dynamics (music)Stress (linguistics)CoalStructural engineeringComputer scienceMechanical engineeringMaterials scienceMechanicsEngineeringPhysicsMathematicsAcoustics

Abstract

fetched live from OpenAlex

The paper focuses on the dynamics optimization of the pin joints which determine the operating performance and life of a novel Large-diameter Coal-bed Methane Reaming Tool (LCMRT). For this purpose, the constraint force equations of the pin joints for LCMRT are first established using Newton-Euler dynamics theory. Moreover, the virtual prototype model of LCMRT is created for dynamics simulations. Based on the dynamics simulations, the constraint forces of the pin joints are shown. Size optimization results for LCMRT are exhibited and described in detail through parametric model. Finally, the results of dynamics simulations based on the LCMRT optimized are demonstrated to validate optimization effect.

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: Methods · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.420

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 head0.013
GPT teacher head0.203
Teacher spread0.190 · 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
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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

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