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Record W4401701764 · doi:10.61186/setee.3.1.23

Experimental investigation of hydrogen fueled Wankel engine from the point of view of relationship between knock, flame velocity, flow velocity and combustion velocity

2024· article· en· W4401701764 on OpenAlexaff
Seyed Karim Sharifi, Mohammad Azarshab, Ali Khoshnam

Bibliographic record

VenueInternational Journal of Smart Energy Technology and Environmental Engineering · 2024
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsLightMachinery (Canada)
Fundersnot available
KeywordsCombustionFlow velocityMechanicsThermal velocityFlow (mathematics)Point (geometry)Materials sciencePhysicsChemistryMathematicsGeometry

Abstract

fetched live from OpenAlex

Environmental issues have increased the importance of developing pollution-free internal combustion engines. In this article, the necessity of using twin spark plugs, the effect of excess air ratio with changing the flame velocity on the ignition velocity and the effect of the engine speed with changing the flow velocity on the HWRE ignition velocity and its effect on the flame velocity are stated. Flame velocity and flow velocity are positively correlated to knock intensity, and flow velocity has a more significant effect.

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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.631

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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2024
Admission routes1
Has abstractyes

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