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Record W2778544047 · doi:10.1021/acssuschemeng.7b03627

Phase Transition of FeSO<sub>4</sub>·7H<sub>2</sub>O to FeSO<sub>4</sub>·H<sub>2</sub>O in the H<sub>2</sub>SO<sub>4</sub>–HCl–H<sub>2</sub>O System by Modeling Solubility

2017· article· en· W2778544047 on OpenAlexaff
Juan Zhou, Yan Zeng, George P. Demopoulos, Chunxi Li, Zhibao Li

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsSolubilityCrystallizationSulfateChemistryDehydrationPhase (matter)TitaniumSolubility equilibriumAnalytical Chemistry (journal)Nuclear chemistryPhysical chemistryChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

A new sustainable process was developed to recycle FeSO 4 ·7H 2 O produced from the sulfate process for titanium dioxide production. In this process, FeSO 4 ·H 2 O was crystallized out from a subsequent cooling crystallization operation rather than FeSO 4 ·7H 2 O. In order to better develop the new process and provide a theoretical basis for ferrous sulfate dehydration, the study of the phase equilibrium of the FeSO 4 –H 2 SO 4 –HCl–H 2 O system is necessary. For this purpose, the solubility of FeSO 4 ·7H 2 O in the H 2 SO 4 –HCl–H 2 O system was determined at a temperature range from 278.15 to 313.15 K using a dynamic method. By raising temperature and the concentration of HCl, more FeSO 4 ·7H 2 O can be dissolved in this system. However, with the addition of H 2 SO 4, the solubility of FeSO 4 ·7H 2 O is found to decrease due to common-ion effect. A speciation-based model equipped with middle-range parameters was established by regressing the experimental and reported solubility of FeSO 4 ·7H 2 O under varying conditions. The phase transition temperature of FeSO 4 ·7H 2 O to FeSO 4 ·H 2 O was successfully predicted by the new model, which was found to decrease with increasing concentration of both H 2 SO 4 and HCl.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0020.004
Open science0.0040.001
Research integrity0.0030.006
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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

Explore more

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