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Experimental and theoretical investigations of the dynamic properties for tilting-pad journal bearings

2008· article· en· W2238292104 on OpenAlexaff
Waldemar Dmochowski

Bibliographic record

VenueAustralian Journal of Mechanical Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicTribology and Lubrication Engineering
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsBearing (navigation)StiffnessAccelerationDisplacement (psychology)VibrationFrequency domainFlexibility (engineering)Coupling (piping)Spectral densityExcitationMechanicsControl theory (sociology)Structural engineeringPhysicsEngineeringComputer scienceAcousticsMechanical engineeringClassical mechanicsMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

Rotors of high-speed machinery are usually supported in tilting-pad journal bearings (TPJB), which offer inherent stability resulting from theoretically zero cross coupling dynamic coefficients. The rotordynamic analysis is usually based on linear bearing stiffness and damping coefficients calculated after ignoring pad mass and assuming synchronous shaft vibration (synchronously reduced coefficients). Measurement of the bearing dynamic properties has been a challenge for many years. This is particularly true for TPJB, which demonstrate a certain dependence on frequency of excitation. The paper presents theoretical and experimental evaluation techniques for stiffness and damping coefficients of TPJB. Some results are also shown. The theoretical results have been obtained from a computer model, which accounts for thermal and elastic effects, including those of pivot flexibility. Experimentally, the dynamic coefficients have been evaluated from the measured excitation force, acceleration and bearing/shaft displacement using a power spectral density technique. The experimental investigations have been supplemented by uncertainty considerations for the frequency domain method. These considerations have been based on analysis of propagation of elemental errors associated with the measurements of displacement and acceleration. The results illustrate the effects of pivot flexibility on the bearing stiffness and damping properties and their variations with frequency.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.409

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 head0.020
GPT teacher head0.221
Teacher spread0.201 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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