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Record W7009310467

Effect of autoclave process on the quality of thermoplastic cones manufactured using automated fiber placement technique

2011· article· en· W7009310467 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2011
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsnot available
Fundersnot available
KeywordsFinite element methodStiffnessUltimate tensile strengthThermoplasticVoid (composites)Natural frequencyAutoclaveMaterial propertiesComposite number
DOInot available

Abstract

fetched live from OpenAlex

The quality of composite part, i.e. degree of cure, solidification, and void content, has direct effect on the resonant frequencies of the part. Therefore, this characteristic can be used for the purpose of quality control and acceptance of the sample. In order to see the effect of autoclave process on the stiffness properties of samples made by fiber placement technique, tensile and compression coupons were made out of advanced thermoplastic material (AS4/PEEK) using hand lay-up and autoclave process and stiffness properties obtained. Two conical sections were made by fiber placement technique and tested by impulse excitation of vibration to get natural frequencies. Finite element analysis was performed using material properties obtained from testing coupons. Natural frequencies were extracted. Comparison between the natural frequencies obtained using finite element method and experimental modal analysis was performed.

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.

How this classification was reachedexpand

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 score0.036
Threshold uncertainty score0.457

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 head0.034
GPT teacher head0.305
Teacher spread0.271 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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