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Record W2517148673 · doi:10.1002/pc.24188

Effects of thermoplastic elastomers on mechanical and thermal properties of glass fiber reinforced poly(3‐hydroxybutyrate‐co‐3‐hydroxyhexanoate) composites

2016· article· en· W2517148673 on OpenAlexaff
Willson Arifin, Takashi Kuboki

Bibliographic record

VenuePolymer Composites · 2016
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsWestern University
Fundersnot available
KeywordsMaterials scienceComposite materialDifferential scanning calorimetryIzod impact strength testThermoplastic elastomerElastomerCompoundingGlass fiberThermoplasticCopolymerPolymerUltimate tensile strength

Abstract

fetched live from OpenAlex

This study investigates the effects of thermoplastic elastomers on the mechanical and thermal properties of glass fiber reinforced bacterial polyester, poly(3‐hydroxybutyrate‐co‐3‐hydroxyhexanoate) (PHBH), composites. The thermoplastic elastomers used were styrene‐ethylene‐butylene‐styrene copolymer (SEBS) and maleated styrene‐ethylene‐butylene‐styrene copolymer (SEBS‐MA). Composites were prepared by melt‐compounding and injection molding. Mechanical test results suggested that SEBS‐MA was more effective than SEBS in improving ductility, fracture energy, and notched Izod impact strength of glass fiber reinforced PHBH composites. Scanning electron microscopy results suggested that SEBS‐MA encapsulated fibers as well as dispersed in the PHBH matrix, whereas SEBS dispersed in the PHBH matrix without fiber encapsulation. Differential scanning calorimetry results suggested that both SEBS and SEBS‐MA addition decreased the degree of crystallinity of the PHBH matrix in glass fiber reinforced PHBH composites. POLYM. COMPOS., 2016. © 2016 Society of Plastics Engineers

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 categoriesMeta-epidemiology (narrow)
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.199
Teacher spread0.189 · 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

Citations11
Published2016
Admission routes1
Has abstractyes

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