MétaCan
Menu
Back to cohort
Record W2040097663 · doi:10.1115/fedsm-icnmm2010-30788

A New Procedure to Capture Temperature Fluctuations Using Cold Wires: Application to Thermoacoustic Systems

2010· article· en· W2040097663 on OpenAlexaff
Arganthae ̈l Berson, Gae ̈lle Poignand, Philippe Blanc-Benon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsQueen's University
Fundersnot available
KeywordsStack (abstract data type)ThermoacousticsThermoacoustic heat engineAcousticsHeat exchangerHarmonicsAnemometerMechanicsSIGNAL (programming language)ResonatorMaterials scienceInertiaPhysicsVoltageThermodynamicsElectrical engineeringEngineeringOptoelectronicsComputer scienceClassical mechanics

Abstract

fetched live from OpenAlex

The improvement of the thermal coupling between the stack of a thermoacoustic refrigerator and the heat exchangers is necessary to achieve high-efficiency and stable operation. Heat transport by the thermoacoustic effect depends on both the velocity and temperature fields. Inside the stack, it can be described by the linear theory of thermoacoustics. However, departures from linear behaviours are expected near the edges of the stack and in the heat-exchangers due to the generation of vorticity and temperature harmonics. The present work focuses on the experimental characterization of temperature harmonics near the edges of a thermoacoustic stack. Experiments are conducted in an 18cm-long resonator operated with air at atmospheric pressure at the resonance frequency of approximately 464Hz. Drive ratios up to 3% are achieved, which corresponds to temperature oscillation amplitudes up to 2.5K. Temperature measurements are performed using a novel procedure recently proposed by Berson et al., Rev. Sci. Instrum. 81, 015102 (2010). The instantaneous temperature is measured with a cold wire operated by a Constant-Current Anemometer (CCA). In addition, we record the output signal of the same wire, under the same flow conditions — which is made possible by the periodicity of the acoustic wave — and operated in the heated mode by a Constant-Voltage Anemometer (CVA). During post-processing, the thermal inertia of the cold wire operated with the CCA is corrected using the CVA signal. This procedure does not require any physical properties of the wire such as the diameter. In addition, it does not require the knowledge of a heat-transfer/velocity relationship for the wire. This is all the most important for thermoacoustic systems since no such relationship is available in oscillating flows. Results validate the generation of temperature harmonics near the stack edges. The spatial distributions of the first and second harmonic amplitudes are compared with a one-dimensional model. The model is an extension of an analytical model from the literature [Gusev et al., J. of Sound and Vibration 235, (2000)] that takes into account axial conduction. Experimental results show an excellent qualitative agreement with the model and demonstrate the importance of axial conduction on the nonlinear thermal field behind the stack.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.004
GPT teacher head0.210
Teacher spread0.206 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Thermodynamic Systems and EnginesFrench-language works237,207