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Record W2944891708 · doi:10.1002/pc.25300

Effect of tool temperature on dimensional fidelity and strength of thermoformed polyetheretherketone composites

2019· article· en· W2944891708 on OpenAlexafffund
Gabriel Fortin, G. Fernlund

Bibliographic record

VenuePolymer Composites · 2019
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsUniversity of British Columbia
FundersNational Research Council Sri LankaNatural Sciences and Engineering Research Council of CanadaMcGill UniversityPratt & Whitney
KeywordsMaterials scienceComposite materialPeekConsolidation (business)ThermoformingShrinkagePolymer

Abstract

fetched live from OpenAlex

Abstract This article presents an experimental study of the effect of tool/consolidation temperature on dimensional fidelity and curved beam strength of thermoformed carbon/PEEK composites made of continuous fibers and random oriented strands (ROS). When processing continuous fiber carbon/PEEK composites, higher tool/consolidation temperatures give higher curved beam and inter‐ply strength and more repeatable process induced deformations. Spring‐in increases with tool temperature but the spring‐in is repeatable and flange warpage is reduced because of lower resin viscosity and increased material flow during consolidation. For the ROS material form, no increase in curved beam strength was observed with higher consolidation temperatures and failure was not governed by the inter‐ply strength of the laminate because of the shorter fibers. Lower tool/consolidation temperatures gave less spring‐in and flange warpage was not dependent on consolidation temperature. Spring‐in for both material forms was found to be thermo‐elastic with no effects from crystallization shrinkage.

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 categoriesMeta-epidemiology (narrow)
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.220
Teacher spread0.216 · 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.

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

Citations8
Published2019
Admission routes2
Has abstractyes

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