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Record W7132998746

A study of wood microfibre reinforced biocomposite films

2006· dissertation· W7132998746 on OpenAlexfundno aff
Ayan Chakraborty

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicrofiberBiocompositePulp (tooth)Kraft processSoftwoodUltimate tensile strengthHomogenizerExtrusionPolylactic acid
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this work was to develop novel wood microfibre reinforced biocomposite films for packaging applications, and to understand fundamental mechanical and barrier properties of these composites. A microfibre was defined as a fibre consisting of cellulosic chains having a diameter between 0.1 to 1 mum, with a minimum corresponding length of 2 to 20 mum. Microfibres were generated from bleached softwood kraft pulp by a combination of high shear refining in a PFI mill and crycrushing under liquid nitrogen, and subsequently isolated by filtering the resulting fibres through a screen of mesh size 60. The energy needed to generate microfibres by refining in the PFI mill was modelled using Rittinger's Law of comminution. It was predicted that the process of generating microfibres 1 mum in diameter from bleached kraft pulp by refining alone would consume about 103.3 MJ/kg. The microfibres were dispersed in matrices of thermoplastic starch and polylactic acid (PLA) in conventional melt-mixing equipment. In view of the strong tendency of the microfibres to agglomerate due to hydrogen bonding, the microfibres were poured as dilute water suspension in molten starch polymer in a Brabender mixer. The resultant micro fibre-starch biocomposite was further added to molten PLA in the Brabender mixer to produce a microfibre-starch-PLA biocomposite. Best dispersion was obtained at a microfibre consistency of up to 0.2% for a flow rate of up to 3.25 ml/min of the suspension. Mechanical studies demonstrated that the tensile strength of the composites increased by about 10% with every percentage increase in microfibre loading, with a corresponding 50% increase in stiffness. Tensile studies with microfibre composite films cast with polyvinyl alcohol (PVA) indicated that the stiffness of the microfibres was about 126 GPa. Diffusion studies demonstrated that the moisture barrier properties of the starch films increased substantially with microfibre loading, whereas there were indications of marginal improvement in oxygen moisture transmission with increased microfibre loading. Hence, improvement in tensile properties of the films by introducing the microfibres was achieved without adversely affecting their barrier properties to moisture and oxygen.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.306
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2006
Admission routes1
Has abstractyes

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