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Record W3211126991 · doi:10.18280/ijdne.160514

Implementation of Fusel Oil as an Octane Enhancer with Commercial Gasoline to Operate Gasoline Engine

2021· article· en· W3211126991 on OpenAlexvenueno aff
Maha A. Taha, Obed M. Ali, Musa M. Weis

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2021
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsFusel alcoholGasolineOctane ratingEnvironmental scienceWaste managementIsobutanolOctaneAlcoholChemistryEngineering

Abstract

fetched live from OpenAlex

The rise of energy demand and ecological contaminations encourage the utilization of alcohol bases on substitutes fuels in spark ignition (SI) engine. The fusel oil is a byproduct acquired from fermentation process with higher alcohol content. It has high-octane and less exhaust emissions; therefore, it takes significant place between the substitutes fuels. During this study, the impact of utilizing mixtures of pure gasoline & fusel oil on engine exhaust emissions & performance has been evaluated after water extraction from fusel oil. A single-cylinder, four-stroke SI engine has been utilized in these tests. The examinations execute at different speeds. The experiment fuels mixed with fusel oil at proportions of 5%, 10%, 20%, and 30%. At each speed, the engine’s performance & emissions measurement have been conducted. During the experimentations, it has been noticed that the torque (T) and specified fuel consumption (SFC) rises as the quantity of fusel oil risen in the mixture. Carbon monoxide (CO) and carbon dioxide (CO2) emissions are decreased as the quantity of fusel oil is raised in mixtures.

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 score0.351
Threshold uncertainty score0.384

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 head0.009
GPT teacher head0.287
Teacher spread0.277 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Design & Nature and EcodynamicsSame topicBiodiesel Production and ApplicationsFrench-language works237,207