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Record W2017840076 · doi:10.1021/ef800591p

Deposition from Wax−Solvent Mixtures under Turbulent Flow: Effects of Shear Rate and Time on Deposit Properties

2008· article· en· W2017840076 on OpenAlexaff
Ravindra Tiwary, Anil K. Mehrotra

Bibliographic record

VenueEnergy & Fuels · 2008
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsReynolds numberTurbulenceDeposition (geology)Shear (geology)Shear rateChemistryHeat transferMaterials scienceThermodynamicsComposite materialMechanicsMineralogyRheologyGeologySediment

Abstract

fetched live from OpenAlex

A bench-scale flow-loop apparatus, incorporating a double-pipe heat exchanger, was used for investigating the effects of shear rate and deposition time on the deposition of solids, under turbulent flow, from solutions of a multicomponent wax in a paraffinic solvent. The deposit-layer thickness was found to decrease with an increase in the Reynolds number (or shear rate), while it increased asymptotically with the deposition time. Calculations with a steady-state heat-transfer model showed the liquid−deposit interface temperature to be equal to the wax appearance temperature (WAT) and the deposit average thermal conductivity to be 0.35 W m −1 K −1 . Gas chromatography (GC) analyses of deposit samples showed significant changes in the carbon number distribution with shear rate and time. A recently proposed model, involving one-dimensional shear deformation of a cubical cage, was used to express changes in the deposit composition, via the deformation angle (β), as a function of the Reynolds number and deposition time. The time-dependent variations in deposit composition were expressed with a viscoplastic model, in which Reynolds number (or shear rate) influences the initial deposit properties. The proposed viscoplastic model affords a new explanation for the deposit aging phenomenon. The deposition from “waxy” mixtures was confirmed to be primarily a thermally driven process, in which the shear rate and deposition time play important roles by influencing the deposit properties.

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 score0.578

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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

Citations57
Published2008
Admission routes1
Has abstractyes

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