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Record W4255155694 · doi:10.2174/2212797611205020079

Developments and Recent Patents on Thermoacoustic Devices

2012· article· en· W4255155694 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

VenueRecent Patents on Mechanical Engineering · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsThermoacoustic heat engineThermoacousticsRefrigerationCryocoolerAcousticsStirling engineMechanical engineeringRefrigerator carStanding waveComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

Over the past three decades, significant patents have been devoted to the development and implementation of thermoacoustic devices in several applications. Thermoacoustic is the science concerned with the interaction of thermodynamics and acoustics. These interactions exist due to the fact that the sound wave consists of pressure waves and these pressure waves affect the thermodynamic characteristics of the gas. Eventually, with a relatively simple structure and environmentally benign gas, the sound can be transformed into heat and vice versa. This phenomenon can be utilized in many engineering applications such as power generation and refrigeration. Thermoacoustic devices can be classified into two main categories; thermoacoustic engine and thermoacoustic refrigerator. This paper presents an overview of the thermoacoustic principles and a summary of the recent patents on thermoacoustic devices along with the current research trends in this field. Keywords: Cryocooler, standing-wave devices, thermoacoustic engines, thermoacoustic refrigerators, traveling-wave devices

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 categoriesMeta-epidemiology (narrow)
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 score0.367
Threshold uncertainty score1.000

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 head0.021
GPT teacher head0.216
Teacher spread0.195 · 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