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Record W4255155694 · doi:10.2174/2212797611205020079

Developments and Recent Patents on Thermoacoustic Devices

2012· article· en· W4255155694 on OpenAlexaff
Nadim Arafa, Atef Mohany

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0350.010

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

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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2012
Admission routes1
Has abstractyes

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