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Record W3132320704 · doi:10.1002/pc.25978

Mechanical and thermal study of <scp>3D</scp> printing composite filaments from wind turbine waste

2021· article· en· W3132320704 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePolymer Composites · 2021
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing and 3D Printing Technologies
Canadian institutionsToronto Metropolitan UniversityMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceThermogravimetric analysisUltimate tensile strengthComposite materialPolylactic acidComposite numberFiberFused filament fabricationFabricationFlexural strength3D printingPolymer

Abstract

fetched live from OpenAlex

Abstract The subject of composite waste from the wind turbine blades has become more serious and challenging. Inspired by the recent popularity of the 3D printing industry, this work presents a step‐by‐step recycling solution to manufacture fiber reinforced filaments for fused filament fabrication. Polylactic acid filaments reinforced with 3, 5, and 10 wt% recyclate content are manufactured and tested using thermogravimetric analysis (TGA), and micro computed tomography (μCT). TGA results elucidate that an increase in the recyclate content translates into a reduction in the mean fiber length. Visualizing μCT results, it is confirmed that fibers are predominantly aligned along the filament length. Tensile specimens per ASTM D636 standard are manufactured and tested with results showing an improvement of, respectively, 20% and 28% in the specific tensile strength and modulus compared with pure PLA samples. The mechanical performance of the newly introduced recycled parts is also assessed through a coherent set of theoretical models, where an excellent agreement between the experiments and predictions is observed.

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 score0.021
Threshold uncertainty score0.928

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 head0.012
GPT teacher head0.210
Teacher spread0.198 · 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