MétaCan
Menu
Back to cohort
Record W2084216971 · doi:10.1021/ef800542a

Measurement of the Liquid−Deposit Interface Temperature during Solids Deposition from Wax−Solvent Mixtures under Sheared Cooling

2008· article· en· W2084216971 on OpenAlexafffund
Hamid Bidmus, Anil K. Mehrotra

Bibliographic record

VenueEnergy & Fuels · 2008
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWaxCoolantSolventPrecipitationParaffin waxPhase (matter)Materials scienceChemistryDeposition (geology)Filtration (mathematics)ChromatographyChemical engineeringAnalytical Chemistry (journal)ThermodynamicsComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

The liquid-deposit interface temperature for solids deposition was measured under sheared as well as static cooling from prepared mixtures of two petroleum waxes and a multicomponent paraffinic solvent (C 9 −C 16 ) at different coolant temperatures. The interface temperature and location were obtained from the rate of change of temperature at fixed radial locations in a cylindrical vessel, while maintaining the coolant temperature below the wax appearance temperature (WAT) of the wax−solvent mixture. In addition, precipitation-filtration experiments were performed on several wax−solvent mixtures at a temperature below the respective WAT, which confirmed that the WAT of the filtrate was 1−2 °C less than the precipitation and filtration temperature. For all sheared- and static-cooling experiments, with both wax samples, the interface temperature throughout the deposit-growth process was found to be equal to the WAT of the liquid phase. The results of this study validate the constant-interface-temperature assumption made in the heat-transfer approach for modeling solids deposition from waxy mixtures but do not support the increasing-interface-temperature assumption in the molecular-diffusion approach.

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 score0.657

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 spread0.202 · 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

Citations32
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueEnergy & FuelsSame topicPetroleum Processing and AnalysisFrench-language works237,207