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Design and analysis of standing wave quarter wavelength thermoacoustic engine

2016· article· en· W2520373443 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIndian Journal of Cryogenics · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ThermoacousticsWavelengthMathematicsStanding waveThermoacoustic heat engineAcousticsMechanical engineeringEngineeringOpticsPhysicsGeography

Abstract

fetched live from OpenAlex

Thermoacoustics have been recent area of investigationsdue to its noticeable advantages like simplicity, structural stability, absence of moving component, high reliability, minimal or no maintenance etc. In addition to these, thermoacoustic devices can use different noble gases and their mixtures as working fluid as well as they can use low grade energy sources such as solar energy, exhaust gas of an automobile, waste heat etc. Incurrent work, design of quarter wavelength standing wave type thermoacoustic engine stack, using the linear thermoacoustic theory, is described. A set of dimensionless parameters has been used toreduce large number of dependent parameters. The design procedure followed here can be a guide fordesign and development of thermoacoustic engines. Various operating parameters such asmean pressure, frequency, driving ratio, hot and cold end temperatures of stack areused to investigate parameters such as length of stack, position of stack, and efficiency.

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 score0.533
Threshold uncertainty score0.356

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 head0.010
GPT teacher head0.200
Teacher spread0.190 · 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