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Record W1479962171

Design optimization of parallel plate heat exchangers in thermoacoustic devices

2007· article· en· W1479962171 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian acoustics · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsConcordia University
Fundersnot available
KeywordsHeat exchangerMicro heat exchangerRefrigerator carStack (abstract data type)Plate heat exchangerRegenerative heat exchangerThermoacousticsMaterials scienceThermodynamicsMechanicsPlate fin heat exchangerThermoacoustic heat engineComputer sciencePhysics
DOInot available

Abstract

fetched live from OpenAlex

Parallel plate heat exchangers of a thermoacoustic refrigerator with an acoustic driver and a heat-driven thermoacoustic refrigerator are optimized by using the second law of thermodynamics and the computer code DeltaE which solves the one dimensional wave equation in a geometry. In the first simulation by DeltaE, the blockage ratio of the heat exchangers is assumed equal to that of the stack. The porosity of the heat exchangers is optimized through the second law analysis and by assuming the plate thickness of the heat exchangers equal to their length. The optimized blockage ratio for the cold heat exchanger and ambient heat exchanger are estimated 0.56 and 0.345. The results show that with the optimized heat exchangers whose porosity is less than that of the stack, the overall performance of the thermoacoustic refrigerator is increased by 16%.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.548

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 head0.012
GPT teacher head0.202
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