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Experimental Determination of CaO–CrO–Cr <sub>2</sub> O <sub>3</sub> –MgO–SiO <sub>2</sub> and Thermodynamic Modeling of the CrO–Cr <sub>2</sub> O <sub>3</sub> –MgO–SiO <sub>2</sub> System

2009· article· en· W1944909035 on OpenAlexaff
Sander Arnout, Muxing Guo, In‐Ho Jung, Bart Blanpain, Patrick Wollants

Bibliographic record

VenueJournal of the American Ceramic Society · 2009
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsLiquidusPhase diagramChromiumCALPHADAnalytical Chemistry (journal)ThermodynamicsPhase (matter)Thermodynamic equilibriumSolid solutionPartial pressureChemistryMaterials scienceMineralogyOxygenMetallurgy

Abstract

fetched live from OpenAlex

This article focuses on the CaO–CrO x –MgO–SiO 2 system at low CaO contents, providing quantitative phase relation data, and improving the thermodynamic description. The observed liquidus data are compared with literature data and state‐of‐the‐art thermodynamic calculations (FactSage 5.5). The experimental phase diagram measurements are performed under various conditions: (1) liquidus of CaO–CrO x –MgO–SiO 2 at a basicity CaO/SiO 2 =0.5 (by weight), at 1500°C and at a partial oxygen pressure p O 2 =10 −11.04 atm, (2) liquidus of CaO–CrO x –MgO–SiO 2 at 1600°C and p O 2 =10 −9.36 atm with constant molar ratio Mg/Cr of 1/2 and varying basicity, (3) phase equilibria of the CrO–Cr 2 O 3 –MgO–SiO 2 system at 1600°C and p O 2 ranging from air to equilibrium with metallic chromium. In the experiments, equilibrium samples of crystalline phases and melts are analyzed by electron probe microanalysis using wavelength dispersive spectroscopy to determine both solid and liquid compositions. Some discrepancies from previous literature data and calculations are found. In order to improve the thermodynamic calculations, a new thermodynamic model of the CrO–Cr 2 O 3 –MgO–SiO 2 system is also developed using the Modified Quasichemical Model for the liquid and the compound energy formalism for the solid solution phases. The newly optimized model parameters can describe the present experimental data and literature data more accurately.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0040.001
Research integrity0.0010.004
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 head0.211
Teacher spread0.204 · 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; both teacher heads agree on what is shown here.

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

Citations11
Published2009
Admission routes1
Has abstractyes

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