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Record W2523259634 · doi:10.14288/1.0216001

Behaviour of resin voids in out-of-autoclave prepreg processing

2015· article· en· W2523259634 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.

Bibliographic record

VenuecIRcle (University of British Columbia) · 2015
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMaterials scienceComposite materialAutoclaveMetallurgy

Abstract

fetched live from OpenAlex

Resin in prepreg contains small bubbles called resin voids. These voids are isolated from the laminate inter-connected breathing network and cannot be removed by vacuum debulk. Initially these voids contribute negligibly to porosity; however, they may grow and contribute significantly to porosity by vapourization of dissolved volatile species and/or ideal gas expansion particularly in low pressure out-of-autoclave (OOA) processes. Modern advanced prepregs have low volatile content except for moisture due to the hygroscopic property of epoxy. The goal of this study is to investigate the behaviour of resin voids and determine the mechanisms and processing conditions that cause resin void growth. The first part of this study investigates the growth of resin voids in neat resin specimens under controlled temperature, resin pressure and moisture content. Neat resin was vacuum bagged on a glass tool and visually observed in-situ by use of a digital microscope. A criterion that predicts the critical resin pressure below which resin voids can grow due to moisture vapourization was tested for two separate moisture contents and accurately predicts the onset of resin void growth. Additionally, resin voids were observed to contribute significantly to porosity in the very low resin pressure regime due to ideal gas expansion. The results indicate that resin pressure is a critical parameter for mitigating resin void porosity. The second part of this study investigates resin void growth in laminates by stimulating moisture vapourization and/or ideal gas expansion and comparing them to a porosity free baseline. In order to isolate the effect of resin voids, laminates were fully evacuated before cure. Reduced resin pressure, increased moisture content and increased cure temperature were tested parameters. Laminates were laid up on a glass tool and observed and recorded in-situ. Both surface and bulk porosity were measured for each laminate. In-situ observations and resin pressure correlate well with porosity results based on the resin void growth mechanisms investigated for all test conditions except increased cure temperature. Possible explanations for the discrepancy are discussed. Resin pressure was seen as a critical parameter in porosity management and the concept of a minimum resin pressure is proposed and discussed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.992

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 head0.013
GPT teacher head0.185
Teacher spread0.172 · 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