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Record W2759103142

Study on high-purity alumina preparation and its applications

2017· article· en· W2759103142 on OpenAlex
Yadian Xie

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueConstellation (Université du Québec à Chicoutimi) · 2017
Typearticle
Languageen
FieldMaterials Science
TopicAnodic Oxide Films and Nanostructures
Canadian institutionsnot available
FundersGuizhou Normal UniversityUniversité du Québec à Chicoutimi
KeywordsAlumWastewaterAluminiumMaterials scienceAlkali metalParticle sizeMetal ions in aqueous solutionChemical engineeringParticle (ecology)NanoparticleGroundwaterMetalIonMetallurgyNanotechnologyChemistryEnvironmental engineeringEnvironmental scienceOrganic chemistryGeology
DOInot available

Abstract

fetched live from OpenAlex

Wastewater from different aluminum processing plants contains different surface treatment liquids. These liquids are strictly prohibited from being discharged directly into the environment due to their high acidity. Different factories and enterprises add water to dilute them or neutralize them with alkali. These approaches not only cause a part of the aluminum ions being discharged, but also result in the release of a large number of harmful metal ions and heavy metal ions. In such cases, a large amount of water and alkali are consumed; at the same time, surface water, groundwater and soil become polluted by a large volume of wastewater and different metal ions. The main objectives of the project are: 1) to extract ultra-pure aluminum ions from wastewater and to study the effect of different parameters on the efficiency of the process; 2) to produce ultra-pure nano-alumina from wastewater using an organic template and to study the effect of different parameters on the particle size distribution as well as on the morphology of the nanoparticles; 3) to explore the possibility of different applications for different types of alumina particles. In this work, aluminum was extracted from the wastewater in the form of alum. This aluminum alum solution was later used to produce 99.999% pure (5N) nano-alumina particles. Two different methods, namely single and double template methods, were used to control the size and the nature of the alumina particles. A single template method was used to produce 99.999% pure (5N) spherical alumina nanoparticles. The aluminum alum solution was hydrolyzed to produce boehmite which was used to produce the spherical alumina nanoparticles. Gum arabic and urea were used to produce the single template. These alumina nanoparticles were converted to alpha (α) form by heating. Then, the α-alumina particles were used to produce sapphire crystals. An evaporation-induced synthesis approach with double template was used to produce spherical mesoporous nanoparticles of uniform size distribution. These particles were used for the photoacoustic tomography. The originality of the project lies in the utilization of new sources of raw materials (wastewater from industries) and using chelating polymers as well as additives to develop a novel and environment friendly high purity alumina (HPA) production method. In addition, the alumina particle size and its distribution are controlled precisely, which is difficult to achieve with other alumina production methods.
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\nLes eaux usées provenant des différentes usines de traitement de l'aluminium contiennent de différents liquides de traitement de surface. Ces liquides sont strictement interdits d'être déchargés directement à l'environnement en raison de leur forte acidité. Des différentes usines et entreprises ajoutent de l'eau pour les diluer ou les neutralisent avec l'alcali. Ces traitements provoquent non seulement la décharge d'une partie des ions d'aluminium, mais également la libération d'un grand nombre d'ions métalliques nocifs et d'ions de métaux lourds. Dans ces cas, des grandes quantités de l'eau et de l'alcali sont consommées; en même temps, les eaux de surface, les eaux souterraines et le sol sont pollués par un grand volume d'eaux usées et de différents ions métalliques. Les objectifs principaux du projet sont : 1) d'extraire les ions d’aluminium ultra-purs des eaux usées et d'étudier l'effet de différents paramètres sur l'efficacité du procédé; 2) de produire la nano-alumine ultra-pure à partir des eaux usées en utilisant un modèle organique et d’étudier l'effet de différents paramètres sur la distribution granulométrique et la morphologie des nanoparticules; 3) d’explorer différentes applications des différents types des particules d'alumine. Dans ce travail, l'aluminium a été extrait des eaux usées sous forme d'alun en utilisant un modèle simple. Cette solution d'alun a ensuite été utilisée pour produire des particules de nano-alumine pur à 99,999% (5N). La solution d'alun a été hydrolysée pour produire une bohémite qui a également été utilisée pour produire des nanoparticules d’alumine sphérique pure à 99,999% (5N). Ces microparticules d'alumine ont été utilisées pour produire des cristaux de saphir. Une approche basée sur la séparation induite par évaporation à double modèle a été utilisée pour produire des nanoparticules mésoporeuses sphériques avec une distribution de taille uniforme. Ces particules ont été utilisées pour la tomographie photoacoustique. L’originalité du projet est l’utilisation de nouvelles sources des matières premières (l’eau usée des industries) et des polymères chélatants et des additives afin de développer une nouvelle méthode écologique pour la production de l’alumine de haute pureté. De plus, la taille des particules de l’alumine et sa granulométrie sont contrôlées précisément, ce qui est difficile à atteindre avec d’autres méthodes de la production de l’alumine.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.229
Teacher spread0.216 · 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