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Record W2031946826 · doi:10.1115/1.4002753

Thermal Field Measurements of a Thermoacoustically Driven Thermoacoustic Refrigerator

2010· article· en· W2031946826 on OpenAlexaff
Syeda Humaira Tasnim, Roydon Fraser

Bibliographic record

VenueJournal of Thermal Science and Engineering Applications · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRefrigerator carThermoacoustic heat enginePrime moverThermoacousticsStack (abstract data type)ThermalWork (physics)Materials scienceAcousticsMechanical engineeringThermodynamicsComputer sciencePhysicsEngineering

Abstract

fetched live from OpenAlex

Thermoacoustic refrigerator is a device that transfers heat from a low temperature medium to a high-temperature medium by using sound energy as work input. We have designed and tested a simplified thermally driven thermoacoustic refrigerator. Our refrigerator is easy to make, uses no moving parts, and has proved to be an impressive illustration of simplicity, an inherent attribute of thermoacoustic engines. At the same time it can be used as a working demonstration of a thermoacoustic refrigerator. Also, in this paper we have reported the results of measurements of temperature gradients and maximum cooling temperature in a thermally driven thermoacoustic refrigerator. The present research shows that the magnitude and position of the maximum cooling temperature depend on the position of the prime mover stack from the nearest pressure antinode. Based on the design of this simplified thermally driven thermoacoustic refrigerator, the design of a complete thermally driven thermoacoustic refrigerator is in progress.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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