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Record W2562701335

Vacuum Infusion Molding of Natural Fibre Reinforced Biobased Resin Composite

2016· dissertation· en· W2562701335 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace · 2016
Typedissertation
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsnot available
FundersUniversity of TorontoDepartment of Chemicals and Petrochemicals, Ministry of Chemicals and Fertilizers, India
KeywordsComposite numberMolding (decorative)Composite materialNatural fiberMaterials sciencePulp and paper industryEngineering
DOInot available

Abstract

fetched live from OpenAlex

The increasing demand in the field of bio material research for an in-depth understanding of processing phenomenon to convert it into a useful product is essential. Besides, there is inadequate information regarding the dependency between their processing mechanism and mechanical performance. The main focus of this work is to address the issues of the resin flow behavior of natural fibre in vacuum infusion molding, the determination of permeability and validation of the proposed contact angle model with experimental data. The proposed model shows greater accuracy when validated with experimental observation. The outcome of this research emphasizes the wetting mechanism and fibre network of sisal mats are the major factors that reduces 26% of permeability as compared to glass fibres. In addition, it is observed that the swelling phenomenon had a minimal influence on the permeability of the sisal fibre mat. The complex phenomena occurring during wetting of natural fibres with epoxidized soybean oil (ESO) in terms of contact angle and surface energy are investigated. The fibres are treated with various reagents to improve the wetting behavior. It is noted that NaOH treatment provides considerable amount of increase in surface area of the exposed cellulose that aids in enhancement of wettability characteristics by increasing the surface energy from 18 mN/m to 23.5 mN/m while reducing the contact angle from 530 to 310. Conversely, there is a formation of virtual layer on the fibre when treated with silane and isocyanate. Moreover, isocyanate treated fibre exhibits improved wetting behaviour in terms of increase in surface energy from 18 mN/m to 25.5 mN/m when wetted with ESO. The kinetics study of the curing reaction of the resin is performed by differential scanning calorimetry. A new empirical model is proposed to analyze the kinetic data obtained experimentally. The results highlighted that the proposed model attained significant improvement to predict the experimental cure kinetic data qualitatively and quantitatively. The addition of 30% ESO in the conventional system increases the activation energy of the system up to 108 kJ/mol. The effect of the surface treatments of natural fibre, fibre loading direction, and resin flow direction on the tensile properties of developed composites are investigated. The longitudinal tensile strength of developed composites demonstrated a 7-8 fold increment, as compared to the transverse direction tensile strength. The flow along the fibre provides 10% increment in tensile strength due to higher permeability.

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 score0.024
Threshold uncertainty score0.795

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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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