MétaCan
Menu
Back to cohort
Record W6967026508 · doi:10.48336/5cs7-7s60

Mass transfer resistance of CuCl₂ hydrolysis in a fixed bed reactor

2023· article· en· W6967026508 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMass transferDiffusionReaction rateSphericityParticle sizeParticle (ecology)Mass transfer coefficientAnalytical Chemistry (journal)

Abstract

fetched live from OpenAlex

The hydrolysis reaction of the Copper-Chlorine (Cu-Cl) cycle is examined in this research to investigate corresponding reaction kinetics with respect to mass transfer resistance through an experimental approach. The experiment was operated at a temperature of 390 °C at atmospheric pressure. The reaction is heterogeneous in which solid reactant CuCl₂ and gaseous reactant H₂O produce Cu₂OCl₂ and HCl. The heterogeneous behaviour of the reaction causes resistance to mass transfer of gaseous reactant H₂O. The resistance in internal diffusion and a surface reaction with mass transfer were analyzed with respect to the initial solid reactant particle size using a shrinking core model (SCM). The results present the thermophysical property of the reaction rate coefficient 0.201 65 s⁻¹ for a particle size of 620 μm and sphericity of 0.68. The experimentally determined reaction and conversion rates of hydrolysis with respect to time are presented, which are experimentally calculated parameters. Scanning Electron Microscopy (SEM) and X-Ray Diffraction (XRD) analysis were used for more accurate results. An uncertainty analysis for the sensors and transducers of the experiment shows that the experimental results have an uncertainty of ±30.1%.

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 categoriesMeta-epidemiology (narrow)
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 score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.225
Teacher spread0.205 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMemorial University Research Repository (Memorial University)Same topicChemical Looping and Thermochemical ProcessesFrench-language works237,207