MétaCan
Menu
Back to cohort
Record W2972221531 · doi:10.5151/simea2019-pap117

Avaliação das características de volatilidade de blendas diesel/biodiesel usando técnicas de análise térmica

2019· article· pt· W2972221531 on OpenAlexaff
R. S. Leonardo, Jo Dweck

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsDiesel fuelBiodieselMaterials sciencePulp and paper industryEnvironmental scienceChemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Since 2008, diesel sold in Brazil receives the mandatory addition of biodiesel (B100). Currently, the blending percentage to B100 in diesel is 10% (B10), but from June / 2019 this value will increase to 11% (B11) and from this date will increase by 1% each year until reaching B15 in 2023. The quality of the diesel sold in Brazil, because the increasing compulsory added B100 content, it has been a cause for concern. Because of its composition and chemical structure B100 is more prone to oxidation than the latter. The purpose of this work was to study the thermal behavior of diesel / biodiesel blends caused by the effect of increasing the B100 content to the mixture using thermal analysis. The blends prepared using soybean biodiesel and S10 diesel, by using the volumetric ratios of 10%, 15%, 20%, 25%, 30%, 35%, 40% and 50%, were analyzed in a simultaneous DSC-TGA mod. SDT-Q600 equipment, from TA Instruments. The experimental conditions used were: dynamic analysis from 25C to 600C, at a heating rate of 10 o C.min -1 , in N 2 . The results indicate that diesel / biodiesel blends volatilization characteristics depends on the content of biodiesel present in the mixture, which reflects in changes in the respective TG/DTG curves profile. It is also observed that the increase of B100 delays the stages mass losses of the blends to higher temperatures. Consequently, there is a displacement of the volatilization onset temperatures (T onset ) to a higher value. . The onset temperature value of diesel is 134 C, while for the blend B25 and B50 is 140 C and 164 C, respectively. The mass loss initial and decomposition endset temperatures (T endset ) are not significantly altered by the presence of biodiesel. The values temperatures are, for the B50, 35 C and 253 C, that is, 2 C and 4 C higher of those of the S10 diesel. The interaction between biodiesel and diesel is not complete, because are observed two peaks in the DTG analysis. This behavior is the result of the difference between their physicochemical properties. The results show that biodiesel modifies the volatilization process of diesel / biodiesel blends, especially for volumetric contents above 20%, which can affect fuel performance.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicBiodiesel Production and ApplicationsFrench-language works237,207