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Record W4392699485 · doi:10.1177/14658011231212630

Effect of MAPE on the morphological, physical and mechanical properties of GTR/PP composites produced by rotational moulding

2024· article· en· W4392699485 on OpenAlex
Yao Dou, Denis Rodrigue

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

VenuePlastics Rubber and Composites Macromolecular Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicFiber-reinforced polymer composites
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMaterials scienceComposite materialInjection mouldingRotational speedMechanical engineering

Abstract

fetched live from OpenAlex

In this work, untreated ground tire rubber (GTR) and maleated polyethylene-treated GTR (GTR/MAPE) were dry-blended with polypropylene (PP) to produce PP/GTR and PP/MAPE/GTR blends via rotational moulding. From the samples produced (0–50 wt-%), a complete characterisation including morphological, physical and mechanical properties (tensile, flexural and impact) was performed. The results showed that all the mechanical properties of PP/MAPE/GTR are below the neat PP values due to the elastomeric properties of GTR. However, the properties were significantly higher for GTR/MAPE compared to neat GTR. For example, the tensile modulus and tensile strength increased by up to 57% and 76%, respectively. Similarly, the flexural modulus and impact strength were improved by up to 74% and 52%, respectively. These results indicated that successful rotomoulding of these blends was achieved with good mechanical properties for the range of parameters studied.

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 score0.369
Threshold uncertainty score0.939

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)0.0000.000

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 head0.004
GPT teacher head0.182
Teacher spread0.178 · 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