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Record W2080429666 · doi:10.5539/ijc.v5n2p38

Part I: Characterization of Flammability Behavior of Polyester Fabric Modified with Sol-Gel

2013· article· en· W2080429666 on OpenAlexvenueno aff
Ahmed Younis, Khaled Elnagar, Mohamed A. Nour

Bibliographic record

VenueInternational Journal of Chemistry · 2013
Typearticle
Languageen
FieldMaterials Science
TopicFlame retardant materials and properties
Canadian institutionsnot available
FundersAl-Azhar University
KeywordsPolyesterThermogravimetric analysisFlammabilityFlammable liquidChemistryFire retardantCoatingChemical engineeringIgnition systemComposite materialOrganic chemistryMaterials science

Abstract

fetched live from OpenAlex

Polyester (PET) fabric is insecure to use since it melts at 249–290 °C, such molten PET could drip on underlying surfaces or human skin and hence become harmful. The rapidly ignited and flammable materials found in nearby areas might lead to damage life and property of consumers. In this research, the fabric was modified to avoid these disadvantages. Thus we investigate the effect of phosphorylated sol-gel coating material on UV/Ozone pre-modified polyester sample for different periods. The thermogravimetric analysis (TGA) and ignition properties (UL/94) were studied for all samples under test. The samples with phosphorylated sol-gel material improved the flammability behavior. Also, the use of UV/Ozone prior this modification activate the surface of polyester, thus improved the stability of the flame retardant.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.010
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.219
Teacher spread0.207 · 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 teacher head, not a consensus.

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

Citations14
Published2013
Admission routes1
Has abstractyes

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