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Record W2522212780 · doi:10.1515/ijcre-2016-0070

A Parametric Study of Biodiesel Production Under Ultrasounds

2016· article· en· W2522212780 on OpenAlexaff
K. P. Shinde, Bendaoud Nohair, Serge Kaliaguine

Bibliographic record

VenueInternational Journal of Chemical Reactor Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBiodieselSodium methoxideDiesel fuelTransesterificationMethanolPulp and paper industryBiodiesel productionFormic acidIodine valueCatalysisCombustionMaterials scienceEnvironmental scienceChemistryWaste managementChemical engineeringOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Abstract Biodiesel, a vegetable oil-derived fuel, can be used as a partial or complete substitute to diesel oil. The main argument for its usage in internal combustion engines is its net CO 2 balance which is considerably reduced compared to diesel fuel of fossil origin. A systematic study of ultrasound continuous biodiesel production using canola oil was conducted in the presence of methanol and sodium methoxide as catalyst. Effects of various reaction parameters such as residence time, catalyst concentration, reaction temperature, ultrasounds amplitude and power, methanol/oil molar ratio were analyzed. Fatty acid methyl esters were produced rapidly by using ultrasound assisted transesterification. In typical conditions (35 °C) conversion to FAME higher than 80 % could be reached at residence time as low as 20 s. The parametric study allowed to establish that the effect of ultrasound wave on transesterification reaction rate is localized in a very small volume surrounding the sonotrode tip. This unprecedented conclusion has significant consequences for the design of the large scale continuous flow biodiesel production reactor.

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 score0.005
Threshold uncertainty score0.318

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 head0.014
GPT teacher head0.238
Teacher spread0.224 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

Explore more

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