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Record W2007906929 · doi:10.1115/imece2002-32775

Parametric Studies of the Turbulence Response of Heat Exchanger Tubes in Loose Supports

2002· article· en· W2007906929 on OpenAlexaff
Marwan Hassan, D. S. Weaver, M. A. Dokainish

Bibliographic record

Venue5th International Symposium on Fluid Structure Interaction, Aeroelasticity, and Flow Induced Vibration and Noise · 2002
Typearticle
Languageen
FieldEngineering
TopicBrake Systems and Friction Analysis
Canadian institutionsMcMaster UniversityUniversity of New Brunswick
Fundersnot available
KeywordsMechanicsTurbulenceHeat exchangerParametric statisticsMaterials scienceTube (container)Work (physics)VibrationComputational fluid dynamicsFlow (mathematics)Heat transferMechanical engineeringEngineeringPhysicsComposite materialAcoustics

Abstract

fetched live from OpenAlex

This paper reports the results of the numerical simulation of a loosely-supported heat exchanger tube excited by turbulence. The effect of support clearance, support geometry, and flow orientation are investigated. The finite element method is utilized to model the vibrations and impact dynamics. Three different friction models are examined to account for the tube/support friction forces. Issues regarding the efficiency and accuracy of the different techniques are discussed. Tube response and tube/support interaction parameters, such as the impact force, the contact ratio, and most importantly, the integrated product of the contact force and the sliding distance (work rate), are presented. The study indicates that some flow orientations and support geometries provide favourable support conditions for higher tube sliding motion against its support and therefore, potentially greater wear rates under service conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.256
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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
Published2002
Admission routes1
Has abstractyes

Explore more

Same venue5th International Symposium on Fluid Structure Interaction, Aeroelasticity, and Flow Induced Vibration and NoiseSame topicBrake Systems and Friction AnalysisFrench-language works237,207