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Record W2000869718 · doi:10.1002/cjce.22140

Thermo‐physical properties of bio‐oil and its fractions: Measurement and analysis

2014· article· en· W2000869718 on OpenAlexaffvenue
Jalal Abedi, Hossein Nourozieh, Mohammad Kariznovi, Fakhry Seyedeyn‐Azad

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2014
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAqueous solutionViscosityFraction (chemistry)Mass fractionChemistryAmbient pressureAqueous two-phase systemViscosity indexChemical engineeringAnalytical Chemistry (journal)ChromatographyMaterials scienceOrganic chemistryThermodynamicsComposite materialBase oil

Abstract

fetched live from OpenAlex

Thermo‐physical properties including densities and viscosities of bio‐oil itself and its two fractions (aqueous fraction and organic fraction) are important for practical utilization. In this study, the bio‐oil fractions were prepared in various weight ratios of 2:1, 1:1, and 1:2. Density and viscosity of a bio‐oil itself, and its aqueous and organic fractions were accurately measured at various temperatures varying from ambient to 343 K and pressures from ambient to 10 MPa. Increasing temperature decreased the density of bio‐oil itself and the two separated phases (aqueous and organic phases) by almost 2.5 %, and 0.3 to 0.4 %, respectively. Increasing the temperature also decreased the viscosity of the bio‐oil by almost 86 % and its aqueous and organic fractions by up to 68 % and 98 %, respectively. The density of the bio‐oil and its organic and aqueous fractions was enhanced by increasing the pressure, whereas increasing the pressure increased the viscosity of bio‐oil and the organic fraction, but not the viscosity of aqueous phase. The generated experimental density and viscosity data of bio‐oil and its aqueous and organic fractions were evaluated with existing models that account for the effects of temperature and pressure. The impacts of pressure and temperature on the density and viscosity were considered in the correlations and evaluated with the experimental results.

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 score0.023
Threshold uncertainty score0.308

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 head0.012
GPT teacher head0.167
Teacher spread0.155 · 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

Citations7
Published2014
Admission routes2
Has abstractyes

Explore more

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