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Record W4284899575 · doi:10.18280/acsm.460306

Valorisation of Industrial Soda-Lime Glass Waste and Its Effect on the Rheological Behavior, Physical-Mechanical and Structural Properties of Sanitary Ceramic Vitreous Bodies

2022· article· en· W4284899575 on OpenAlexvenueno aff
Khaled Boulaiche, K. Boudeghdegh, Sofiane Haddad, A. Roula, Hichem Alioui

Bibliographic record

VenueAnnales de Chimie Science des Matériaux · 2022
Typearticle
Languageen
FieldEngineering
TopicRecycling and utilization of industrial and municipal waste in materials production
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceRheologyMulliteAbsorption of waterAnorthiteFlexural strengthThixotropyLimeGlass recyclingComposite materialQuartzCeramicMineralogyMetallurgyChemistry

Abstract

fetched live from OpenAlex

In this study, the effect of substitution of feldspar by soda-lime glass waste (SLGW), on rheological behavior, thermal, physical-mechanical and structural properties of sanitary-ware vitreous china (VC) bodies, has been evaluated. The findings show a positive effect on the rheological behavior of the slip, to viscosity, thixotropy, density and casting process. Indeed, during the firing stage at 1230°C, the use of 20 wt. % of SLGW in the composition of VC bodies, improved Bulk density (2 to 2.52 g/cm3), reduced water absorption (0.35 to 0.02%), and increased flexural strength (33 to 51 MPa). The fired samples were characterized using X-ray diffraction, SEM and FTIR analysis; results indicate that Mullite and Quartz are the major phases, with a little presence of anorthite phase formed by SLGW additions. From TGA/DTG analysis, it was found that the use of SLGW (15 wt. %) reduces mass loss of VC bodies (8.83 to 8.53%). These positive results open new horizons for using this waste, as a sound environmental, technological and economic solution.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.259
Teacher spread0.191 · 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 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

Citations3
Published2022
Admission routes1
Has abstractyes

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Same venueAnnales de Chimie Science des MatériauxSame topicRecycling and utilization of industrial and municipal waste in materials productionFrench-language works237,207