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Record W4389294598 · doi:10.1021/acs.iecr.3c02295

Thermodynamic Model for High-Temperature Corrosion Applications: The (NaCl + Na<sub>2</sub>CO<sub>3</sub> + Na<sub>2</sub>SO<sub>4</sub> + Na<sub>2</sub>S<sub>2</sub>O<sub>7</sub> + Na<sub>2</sub>CrO<sub>4</sub> + Na<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub> + Na<sub>2</sub>MoO<sub>4</sub> + Na<sub>2</sub>Mo<sub>2</sub>O<sub>7</sub> + Na<sub>2</sub>O + KCl + K<sub>2</sub>CO<sub>3</sub> + K<sub>2</sub>SO<sub>4</sub> + K<sub>2</sub>S<sub>2</sub>O<sub>7</sub> + K<sub>2</sub>CrO<sub>4</sub> + K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub> + K<sub>2</sub>MoO<sub>4</sub> + K<sub>2</sub>Mo<sub>2</sub>O<sub>7</sub> + K<sub>2</sub>O) System

2023· article· pt· W4389294598 on OpenAlexafffund
Sara Benalia, Fiseha Tesfaye, Daniel Lindberg, Leena Hupa, Patrice Chartrand, Christian Robelin

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2023
Typearticle
Languagept
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsPolytechnique Montréal
FundersCanada Research Chairs
KeywordsThermogravimetric analysisThermodynamicsDifferential scanning calorimetrySolid solutionMaterials scienceMolybdenumGibbs free energyPhase diagramCALPHADAnalytical Chemistry (journal)ChemistryPhase (matter)Metallurgy

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide A thermodynamic model has been developed for the condensed phases of the salt system (NaCl + Na 2 CO 3 + Na 2 SO 4 + Na 2 S 2 O 7 + Na 2 CrO 4 + Na 2 Cr 2 O 7 + Na 2 MoO 4 + Na 2 Mo 2 O 7 + Na 2 O + KCl + K 2 CO 3 + K 2 SO 4 + K 2 S 2 O 7 + K 2 CrO 4 + K 2 Cr 2 O 7 + K 2 MoO 4 + K 2 Mo 2 O 7 + K 2 O) (diluted in free oxides), which is most often involved in combustion processes for energy production. This model is relevant in particular for the solid deposits formed in steel and stainless steel installations containing Ni, Cr, Mo, W, and V as alloying elements and permits the accurate prediction of thermodynamic properties and phase equilibria in the multicomponent system. The (NaCl + Na 2 CO 3 + Na 2 SO 4 + Na 2 S 2 O 7 + Na 2 CrO 4 + Na 2 Cr 2 O 7 + Na 2 O + KCl + K 2 CO 3 + K 2 SO 4 + K 2 S 2 O 7 + K 2 CrO 4 + K 2 Cr 2 O 7 + K 2 O) subsystem was critically evaluated in previous papers. In the present work, Na 2 MoO 4, K 2 MoO 4, Na 2 Mo 2 O 7, and K 2 Mo 2 O 7 have been added to the previously developed thermodynamic model. The available phase diagram and thermodynamic data have been critically evaluated, and model parameters have been obtained. The Modified Quasichemical Model in the Quadruplet Approximation was used for both the liquid solution and the high-temperature hexagonal solid solution (Na 2 CO 3 + Na 2 SO 4 + Na 2 CrO 4 + Na 2 MoO 4 + K 2 CO 3 + K 2 SO 4 + K 2 CrO 4 + [K 2 MoO 4 ]), whereas the Compound Energy Formalism (CEF) was used for all other solid solutions. Due to the lack of data, several common-ion binary subsystems have been investigated in this work at different compositions by differential scanning calorimetry-thermogravimetric analysis (DSC-TGA). In addition, the nonstoichiometric molybdenum-glaserite phase has been studied at the composition (35 mol % Na 2 MoO 4 + 65 mol % K 2 MoO 4 ) using scanning electron microscopy-energy dispersive X-ray spectrometry (SEM-EDS) and DSC-TGA, after annealing at 400 °C for 4 weeks.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.028
GPT teacher head0.266
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2023
Admission routes2
Has abstractyes

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