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Record W2898904599 · doi:10.1115/detc2018-85372

Influence of the Initial Temperature on the Clutch Hot Judder

2018· article· en· W2898904599 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicBrake Systems and Friction Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsClutchTorqueVibrationFinite element methodMaterials scienceStructural engineeringMechanical engineeringEngineeringThermodynamicsPhysicsAcoustics

Abstract

fetched live from OpenAlex

In order to explore the effects of the initial temperature on the clutch hot judder, the thermodynamic analysis was conducted during the clutch engagement process. The finite element analysis was adopted to explore the contact pressure based on the consideration of the concentrated reactive force on the circlip. A 4-degree-of-freedom torsional vibration model was established to evaluate the hot judder behavior. The results demonstrated that the closer the surface was to the circlip, the greater the friction torque generated on friction surfaces was. Moreover, the higher the initial temperature was, the shriller the clutch hot judder was. The increased initial temperature not only resulted in the increase in the maximum surface temperature, but also could make the clutch engagement much shorter.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.378

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 head0.220
Teacher spread0.209 · 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

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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