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Record W4402619677 · doi:10.1139/tcsme-2024-0104

Influence of dynamic change of radial clearance on flow and thermal characteristics of full ceramic angular contact ball bearing

2024· article· en· W4402619677 on OpenAlexvenueno aff
Zhan Wang, Qinghua Zheng, Zhenpeng Liu, Ye Zhang

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicGear and Bearing Dynamics Analysis
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMechanicsMaterials scienceLubricationBearing (navigation)Ball (mathematics)Flow (mathematics)Radial Force VariationComposite materialStructural engineeringEngineeringPhysicsGeometry

Abstract

fetched live from OpenAlex

This paper aims to investigate the change in radial clearance. The study focuses on the influence of this change on the internal flow distribution and thermal characteristics of full ceramic angular contact ball bearing under oil–gas two-phase flow lubrication. Using elastic theory to compute changes in radial clearance due to elastic deformation, centrifugal displacement, and thermal expansion. A theoretical model calculating the inner ring displacement and radial clearance values was established. Next, a numerical analysis model, based in two-phase flow lubrication theory, was used to analyze the flow field characteristics. Fluid–structure interaction techniques were used to assess the changing effects of radial clearance changes on the flow field and thermal behaviors within the bearing cavity. The accuracy of the simulation was verified by a bearing temperature rise test. The results indicate that the oil phase, primarily affected by centrifugal forces, tends to concentrate around the outer ring of the bearing. As the interference fit increases, the radial clearance diminishes, resulting in a lower oil phase volume fraction. A decrease in bearing temperature rise was observed with radial clearance increasing, showing that a larger radial clearance can mitigate the heat generated within the bearing.

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 score0.284
Threshold uncertainty score0.468

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 head0.006
GPT teacher head0.186
Teacher spread0.180 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicGear and Bearing Dynamics AnalysisFrench-language works237,207