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Record W3166623342 · doi:10.1088/1361-6501/ac0742

Design of thermal-anemometry-based probes for the simultaneous measurement of velocity and gas concentration in turbulent flows

2021· article· en· W3166623342 on OpenAlexafffund
Alaïs Hewes, Laurent Mydlarski

Bibliographic record

VenueMeasurement Science and Technology · 2021
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTurbulenceMechanicsThermalEnvironmental scienceMaterials sciencePhysicsOpticsMeteorology

Abstract

fetched live from OpenAlex

Abstract Although thermal anemometry has been employed for the simultaneous measurement of velocity and gas concentration, the underlying theory and techniques to do so are not well established. To rectify this situation, the present work uses theory and experiments to investigate the design of thermal-anemometry-based probes capable of making such measurements, specifically focusing on those for use in helium/air mixtures. It is demonstrated that an interference probe, which consists of two hot-wires placed close enough together that one is located in the thermal wake of the other, can be used to simultaneously measure velocity and helium concentration. The performance of the probe is increased when (i) the separation distance ( s ) between the wires is small ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>s</mml:mi> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>d</mml:mi> <mml:mrow> <mml:mtext>up</mml:mtext> </mml:mrow> </mml:msub> <mml:mo>≲</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> , where <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mi>d</mml:mi> <mml:mrow> <mml:mi mathvariant="normal">u</mml:mi> <mml:mi mathvariant="normal">p</mml:mi> </mml:mrow> </mml:msub> </mml:math> is the diameter of the upstream wire), and (ii) the downstream wire overheat ratio is low. Furthermore, a short downstream wire is recommended to ensure that the separation distance remains small while the wires are being operated.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.212
Teacher spread0.189 · 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

Citations7
Published2021
Admission routes2
Has abstractyes

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