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Record W3211967464 · doi:10.32920/ryerson.14648244.v1

Experimental Measurement of Soret Coefficient of Binary Hydorcarbon Mixtures

2021· preprint· en· W3211967464 on OpenAlex
Md. Ashiqur Rahman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicField-Flow Fractionation Techniques
Canadian institutionsToronto Metropolitan UniversityNatural Sciences and Engineering Research Council of Canada
FundersCanadian Space Agency
KeywordsBinary numberThermodynamicsMaterials scienceDiffusionDecaneActivity coefficientDodecaneRefractive indexPhysicsPhysical chemistryChemistryMathematicsOrganic chemistry

Abstract

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Measurement of diffusion coefficients is essential for simulation and prediction of oil reservoirs. Recently, a new experimental set-up has been built at Ryerson University to measure the transport coefficient of transparent liquid mixtures. Laser-based optical digital interferometry techniques using a Mach-Zehnder Interferometer have been used for measuring the diffusion coefficients. This method is non-intrusive, highly accurate, and can provide a detailed 2-D visualization of temperature and concentration fields. Five binary liquid mixtures of Decane (C10H22) - Isobutylbenzene (IBB), Decane (C10H22) - 1,2,3,4 Tetrahydronaphthalene (THN), Dodecane (C12H26) - Isobutylbenzene (IBB), Dodecane (C12H26) - 1,2,3,4 Tetrahydronaphthalene (THN) and Isobutylbenzene (IBB) - 1,2,3,4 Tetrahydronaphtha-lene (THN) have been selected. The mixtures have been prepared from pure C10H22, C12H26, IBB and THN for 50% mass fractions. These five binary mixtures are representatives of binary interactions between alkane, one-ring aromatic and two-ring aromatic hydrocarbons. The thermal designs of the diffusion cell, as well as the data analyze method, have been improved. A comparison of experimental data with theoretical analysis based on the Firoozabadi model for measuring thermodiffusion coefficient and Peng-Robinson equation of state (PR-EOS) for measuring the physical properties have been conducted. Experimental results showed a maximum deviation of less than 2% for IBB- C12H26 and THN-IBB and 9% for THN-C12H26 from the available benchmark results. Accurate knowledge of refractive index is highly relevant to correlations with concentration, temperature, wavelength and pressure in non-intrusive experiments carried out with transparent fluids. It can be used for the identification and characterization of pure materials and for the measurement of concentration of multi-component mixtures. In this current scope, refractive indices of five binary mixtures C10H22-IBB, C10H22-THN, C12H26-IBB, C12H26-THN and IBB-THN have been measured using both the Mach-Zehnder Interferometer and a multi-wavelength Abbemat refractometer. Temperature and concentration coefficients of refractive indices, or so-called contrast factors, as well as their individual correlation to calculate refractive indices have been presented for a wide range of visible spectrums such as 436 nm to 657 nm. Comparison with available literature and mixing rules shows that new correlations can predict the experimental data with deviations of less than 0.001.

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.

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 score0.100
Threshold uncertainty score0.846

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 head0.020
GPT teacher head0.247
Teacher spread0.227 · 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

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Citations0
Published2021
Admission routes3
Has abstractyes

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