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Record W2780020838 · doi:10.14288/1.0314593

Towards mitigation of wrinkles during forming of woven fabric composites : an experimental characterization

2016· article· en· W2780020838 on OpenAlex
Armin Rashidi Mehrabadi

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

VenueOpen Collections · 2016
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComposite materialMaterials scienceCharacterization (materials science)Composite numberNanotechnology

Abstract

fetched live from OpenAlex

Woven fiber-reinforced polymer composites have become superior materials of choice in industries such as aerospace, energy and automotive, partly due to increased conformability to complex 3D shapes. Formability of woven composite reinforcements, however, is restricted by failure mechanisms such as wrinkling, and remains as a challenging issue for thermo-stamping operations. Wrinkling is today one of the most frequent defects arising during forming processes of composite materials, adversely affecting the quality of the final product, and coping with this defect requires fundamental knowledge and understanding of the fabric’s deformation mechanisms. This MASc thesis presents an analytical and experimental study on the shear deformation behavior of woven reinforcements from a multi-level standpoint as to more closely investigate the mechanisms behind formation of wrinkles. Namely, in the first stage of the research, sources of observed conflicts in the literature regarding the trend of tension-shear coupling in woven fabrics are discussed and resolved using a new characterization framework and a custom-design combined loading fixture. It is shown that in order to correctly characterize the tension-shear coupling behaviour in woven fabrics, instead of using global measured data, local normalized forces and displacements should be driven via a non-orthogonal transformation procedure, while considering kinematic force coupling in the test setup. In the second stage, a new characterization technique, namely a multi-step biaxial bias extension (MBBE) test, is proposed to determine the amount of required transverse de-wrinkling force, to flatten the wrinkles of different sizes. The underlying deformation mechanisms and the wrinkling/de-winkling force responses of the fabric are investigated, resulting into some potential practical design considerations for future 3D forming applications. Furthermore, the influence of yarn contact forces, bending rigidity, and tow slippage is highlighted for devising the de-wrinkling strategies. Finally, hemisphere forming experiments are carried out, attempting to find correlations between the results of 2D characterization experiments and those of 3D forming. Subsequently, a practical idea on modifying the blank holder geometry is proposed and validated for effectively suppressing the wrinkles and possibly other forming-induced defects during the fabric forming processes.

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 categoriesInsufficient payload (model declined to judge)
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 score0.010
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.290
Teacher spread0.265 · 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