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Caracterización mecánica y morfológica de termoplásticos reciclados espumados reforzados con sub productos de madera

2013· article· es· W2015737588 on OpenAlexaff
P. Moreno, Denis Rodrigue, Aldo Ballerini, William Gacitúa

Bibliographic record

VenueMaderas Ciencia y tecnología · 2013
Typearticle
Languagees
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

El objetivo del presente estudio fue observar la morfología y caracterizar las propiedades mecánicas de materiales compuestos de madera y plásticos reciclados espumados. Se mezcló polietileno de alta densidad reciclado con fibra de madera de Pinus radiata D.Don (pino radiata) de 60 mesh. Las concentraciones de fibra fueron de 15 y 25% en peso, el polímero se espumó con un agente químico ACA (azodicarbonamida) y se utilizó anhídrido maleico MAPE (Epolene E-20) como agente de acoplamiento. Los compuestos se obtuvieron usando un proceso de extrusión en un equipo doble tornillo. Los resultados demostraron que el agente acoplamiento tuvo un efecto positivo sobre la adherencia del polímero reciclado y la fibra de madera. La densidad de los compuestos disminuyó con el agente espumante y las propiedades mecánicas de dureza, impacto, módulo de elasticidad en flexión y tracción fueron superiores para los compuestos no espumados. Se concluyó que al aumentar la concentración de fibra aumentaron las propiedades mecánicas de los compuestos a excepción de la tenacidad que al incorporar el agente espumante disminuyó ligeramente. AbstractThe objective of the present study was to observe the morphology and characterize the mechanical properties of wood plastic composite foams. Recycled high density polyethylene was mixed with Pinus radiata D. Don (radiata pine) wood fiber of 60 mesh. The fiber concentrations were 15 and 25% by weight. The compounds were foamed with a chemical agent ACA (azodicabonamide) and MAPE (Epolene E-20) was used as a coupling agent. The composites were obtained by twin– screw extrusion. The results showed that the coupling agent had a positive effect on the adhesion of the recycled polymer and wood fiber. The density of the compounds decreased with blowing agent and the mechanical properties of hardness, impact, modulus of elasticity in bending and tension were higher for unfoamed composites. It was concluded that increasing the concentration of fiber increases the mechanical properties with the exception of impact resistance of the compounds that by incorporating the blowing agent decreased slightly.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.009
GPT teacher head0.237
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2013
Admission routes1
Has abstractyes

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