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Record W4394766499 · doi:10.1002/pen.26746

Fabrication and characterizations of screw pine root fiber reinforced soy composite as sustainable green composite

2024· article· en· W4394766499 on OpenAlexaff
Shruti S. Pattnaik, Diptiranjan Behera, Yubraj Pani, Nigamananda Das, Manjusri Misra, Amar K. Mohanty, Ajaya K. Behera

Bibliographic record

VenuePolymer Engineering and Science · 2024
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsUltimate tensile strengthComposite numberAbsorption of waterMaterials scienceComposite materialFlexural strengthVinyl esterVinyl alcoholFiberPolymer

Abstract

fetched live from OpenAlex

Abstract Screw pine root fibers are engineering fibers that have yet to be explored in terms of its chemistry with bio‐resin in biodegradable composites to replace nonbiodegradable thermoplastics used in packaging, automobiles, furniture, and industrial sectors. Screw pine root fibers are reinforced with soy, poly(vinyl alcohol), and soy‐poly(vinyl alcohol) resin systems in this work to create a variety of composites. Composites demonstrated highest amount of tensile strength at around 39.7 MPa, 37.6 MPa of flexural property, along with an impact strength around 12.4 kJ/m 2 . The thermal solidity of the optimized material was determined to be 235°C. After 24 hours of immersion, the composite had the lowest water absorption of 18.4%. All composites were shown to be biodegradable, losing about 54.2%–72.9% of their original mass after 60 days in soil burial. Unique characteristics such as the use of low‐cost agricultural materials, water‐based resin, stable composite, and properties such as moderately strong, safe disposal after service periods make these manufactured composites market feasible as consumer‐friendly/ecofriendly green products. Highlights Screw pine root fibers were extracted from waste roots and used as reinforcement. The tensile strength of the composite was achieved as 39.7 MPa. The water absorption of hybrid composite was found 30.8% after 24 h. After 60 days under soil burial, composite lost 67.5% of its original weight Developed composites can be good alternant for nondegradable thermoplastic.

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 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 score0.069
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.005
GPT teacher head0.220
Teacher spread0.215 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations12
Published2024
Admission routes1
Has abstractyes

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