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Record W4232243604 · doi:10.1121/2.0000978

Thermoacoustic waste heat recovery engine: Comparison of simulation and experiment

2018· article· en· W4232243604 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.

Bibliographic record

VenueProceedings of meetings on acoustics · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsSpinal Cord Injury BC
FundersPacific Northwest National LaboratoryLos Alamos National Laboratory
KeywordsVenturi effectRegenerative heat exchangerWaste heatWaste heat recovery unitHeat exchangerNuclear engineeringHeat engineThermoacoustic heat engineStirling engineHeat pumpWorking fluidEnvironmental scienceMaterials scienceExhaust gasExternal combustion engineMechanical engineeringWaste managementEngineeringChemistryCombustion chamberCombustion

Abstract

fetched live from OpenAlex

A thermoacoustic engine heated with a 10–20 kW 600C waste heat exhaust stream was designed and built. The heat is extracted from the exhaust with a microchannel counter flow heat exchanger and delivered to the hot side of the regenerator with a self-ciculating loop. This loop is driven using Venturi driven streaming of the helium working gas so that no high pressure and high temperature pump is required. The prototype system performed close to simulated expectations. A peak of 570 W electrical power was measured as was a peak conversion efficiency of waste heat enthalpy to electrical energy of 5%.

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: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.738

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 head0.261
Teacher spread0.249 · 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