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Record W2053522998 · doi:10.1177/0731684408099415

Development of Recycled Polypropylene Matrix Composites Reinforced with Fly Ash

2009· article· en· W2053522998 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Reinforced Plastics and Composites · 2009
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsUniversity of Guelph
FundersDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsMaterials sciencePolypropyleneComposite materialFly ashFlexural strengthAbsorption of waterComposite numberCoupling (piping)Izod impact strength testUltimate tensile strength

Abstract

fetched live from OpenAlex

Utilization of recycled polypropylene obtained from post-consumer products and fly ash particles, obtained as a by-product from thermal power plants, has environmental as well as economical benefits for society. A valuable addition can be made to these waste materials by converting them into composite materials. In this study, an attempt has been made to develop a composite material from RPP and fly ash in 1 : 1 weight ratio, using two types of coupling agents. A silane coupling agent (VTMO) and a maleated polypropylene (Epolene G 3003) were used as the coupling agents. The composites were characterized for their flexural properties, water absorption behavior, and thermal degradation behavior. There was a significant improvement in properties when VTMO was used as the coupling agent compared to Epolene.

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 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 score0.063
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.008
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