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Enregistrement W7048651913

Manufacturing of a Fiber-Reinforced Thermoplastic Composite Micro-Generating Wind Turbine Blade

2023· dissertation· en· W7048651913 sur OpenAlexafffundabout

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2023
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaOntario Centre of Innovation
Mots-clésThermosetting polymerRenewable energyWind powerTurbine bladeThermoplasticTurbineEpoxyRenewable resourceEngineered wood
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In response to climate legislation attempting to curb global greenhouse emissions, renewable energy technologies have seen rapidly increasing global demand over the past two decades, with significant attention paid to the wind energy sector. Large, MW-scale wind turbines routinely exceed 100-meters in blade length, enabling reliable clean energy to be accessed by urban communities. However, such structures are often not feasible in remote communities that are not connected to the electrical grid. In Northern Canada, these communities are often reliant on diesel generators for reliable energy despite their inefficiency and emission of harmful pollutants. Thus, the development of renewable energy solutions that can be applied to smaller communities – such as small-scale, micro-generating wind turbine blades that produce up-to 100 KW of power – are a timely engineering problem. \n \nGenerally, high-performance blade structures take advantage of fiber-reinforced plastic (FRP) composite materials that allow for high strength-to-weight ratios and excellent fatigue performance. However, legacy turbine blade material systems suffer from poor end-of-life recyclability due to issues with recovering conventional thermosetting epoxy polymer resin systems that cannot be melted and reformed. Thus, the composites industry is rapidly transitioning to alternate plastic formulations that maximize performance while considering holistic product lifecycles. In-situ polymerizable thermoplastic resins represent one such alternative. These novel resin systems comprise monomers that polymerize in-situ during part production. The low flow viscosity of these resins enables their use with cost-effective processes such as vacuum assisted resin-transfer molding (VARTM). Unlike thermosetting polymers (such as epoxy) that undergo irreversible curing during processing, thermoplastic materials can be melted and reformed at sufficiently high temperatures, allowing for full reclamation of the composite material system at the conclusion of its service life. \n \nThe goal of this thesis was to manufacture a full-scale micro-generating wind turbine blade comprising glass-fiber reinforced in-situ polymerizable thermoplastic resin shells using a VARTM process in a cost-effective manner. Three main objectives were identified to complete this project. The first objective was to optimize a baseline VARTM process to reliably produce flat panels with optimized fiber volume fraction (𝑉𝑓) and void volume fraction (𝑉𝑐). Second, a suitable adhesive joining system for the composite was to be identified, with Mode I double cantilever beam and Mode II end notched flexural tests performed at room and low temperatures to simulate the expected ambient conditions in remote Northern Canadian communities, with a consideration for bond-line thickness effects. Finally, the findings from the first two tasks were to be synthesized and adapted to enable the production of full-scale, high-quality micro-generating wind turbine blades by joining two separately produced shells. \n \nA process study was performed to minimize void formation during flat panel manufacturing stemming from transverse flow, dual-scale flow, and race-tracking, while maintaining sufficient compaction during polymerization. Microscopic analysis and visual inspection were used to measure fiber volume fraction and observe void formations. The optimized high-quality panels exhibited an average fiber volume fraction of 46.28 (±1.2)%. The removal of a polymeric veil from the unidirectional non-crimp fabric architecture contributed to an increase in fiber volume fraction of 8.2%. The observed fiber volume fractions with the optimized VARTM process are within 2.5% of literature results for E-glass UD-NCF composite panels produced with SCRIMP processes. Adhesive test results showed that the methyl methacrylate (MMA) adhesive experienced ductile cohesive failure at room temperature (RT; 23°C), and brittle failure within the adhesive and substrate at low temperature (LT; -40°C) depending on the load condition. RT DCB tests showed an increase of 45% in fracture energy in the adhesive joint with increasing bond-line thickness, while LT test specimens exhibited lower loads and an oscillatory crack tip propagation pattern implying accumulated residual stresses in the adhesive layer due to thermal expansion incompatibility with the composite substrate. ENF specimens showed a reduced load capability at LT conditions with a higher elastic stiffness and failure within the substrate. \n \nFabrication of a full-scale proof-of-concept blade showed that accommodating fabric drapability was critical for a high-quality infusion, and that the material system can be successfully adapted for production pending revisions to the adhesive surface geometries. While the trailing edge of the blade allowed for a robust adhesive joint, the blade shell concavities along the leading edge meant that the shells mated along the thickness of the composite, creating a weak bond with significant cracks and porosities in the adhesive layer. Future trials should incorporate a representative fabric stacking sequence and modified joint geometries to compare the static deflection of the updated thermoplastic material system with legacy carbon fibre-reinforced epoxy composite blades.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,208
Écart entre enseignants0,199 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission3
Résumé présentoui

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