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Record W2600605040 · doi:10.1002/pc.24354

Thermostamping of [0/90]<sub><i>n</i></sub> carbon/peek laminates: Influence of support configuration and demolding temperature on part consolidation

2017· article· en· W2600605040 on OpenAlexafffund
Abdelhaq Benkaddour, Gilbert Lebrun, Louis Laberge Lebel

Bibliographic record

VenuePolymer Composites · 2017
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsPolytechnique MontréalUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsMaterials sciencePeekComposite materialConsolidation (business)BlankPolyimideCompression moldingPolymer

Abstract

fetched live from OpenAlex

This work presents experimental results on the thermostamping of carbon/PEEK cross‐ply laminates made of unidirectional prepregs. The first objective was to evaluate the effect of the supporting frame and laminate thickness on the consolidation quality of the final part. Based on the use of a square frame mounted with constant‐force springs clamps, three support configurations are compared: (i) clamp a polyimide film with the springs and use it to support the blank, (ii) support the blank with the constant‐force springs without polyimide film and (iii) support both the blank and a polyimide film with the springs. Using the best of these configurations (configurations ii and iii), the second objective was to push further the analysis and evaluate how demolding at different temperatures affects the part thickness distribution, the interlaminar shear strength and the cycle time of the process. Good consolidation qualities were obtained with configurations (ii) and (iii). However, the latter allows for more uniformity in the part thickness and higher shear strength when demolding at higher temperatures. It also allows a reduction of the molding cycle time considering the part can be demolded at a higher temperature (reduced cooling time). POLYM. COMPOS., 39:3341–3352, 2018. © 2017 Society of Plastics Engineers

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 score0.025
Threshold uncertainty score0.877

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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

Citations20
Published2017
Admission routes2
Has abstractyes

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