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Record W1932924504 · doi:10.1002/mame.201300038

Biocomposites From Switchgrass and Lignin Hybrid and Poly(butylene succinate) Bioplastic: Studies on Reactive Compatibilization and Performance Evaluation

2013· article· en· W1932924504 on OpenAlex
Saswata Sahoo, Manjusri Misra, Amar K. Mohanty

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

VenueMacromolecular Materials and Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMaterials scienceCrystallinityCompatibilizationLigninComposite materialReactive extrusionOrganic peroxideIzod impact strength testPrepolymerPolybutylene succinateUltimate tensile strengthIsocyanatePolybutadienePeroxideFlexural strengthChemical modificationDynamic mechanical analysisPolymerPolyurethanePolymer chemistryPolymer blendOrganic chemistryCopolymerChemistry

Abstract

fetched live from OpenAlex

Abstract Lignin and switchgrass based poly (butylene succinate) composites were prepared using a melt mixing technique. The effects of polymeric methylene diphenyl diisocyanate (pMDI), isocyanate terminated polybutadiene prepolymer (ITPB) and organic peroxide on the properties of the composites were evaluated. Peroxide and pMDI resulted in the improvement of the tensile and flexural strengths of the composites. ITPB enhanced the impact strength of the material. The degree of crystallinity of the polymer increased with the addition of fillers and reduced with the incorporation of chemical additives. The composites exhibited about 252–333% higher storage modulus than the virgin plastic. Good interfacial morphologies were observed for composites with chemical additives. Mechanisms were deduced for the predicted chemical reactions.

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 score0.051
Threshold uncertainty score0.803

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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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