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Record W2461176185 · doi:10.1177/096739110501300601

Thermoforming Complex Parts from Unconsolidated and Consolidated Polypropylene/Glass Fibre Fabrics

2005· article· en· W2461176185 on OpenAlexaff
David Trudel‐Boucher, B. Fisa, Johanne Denault, Patrick Gagnon

Bibliographic record

VenuePolymers and Polymer Composites · 2005
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsNational Research Council CanadaPolytechnique Montréal
Fundersnot available
KeywordsThermoformingMaterials scienceComposite materialMoldPolypropyleneConsolidation (business)

Abstract

fetched live from OpenAlex

Thermoforming of unconsolidated and consolidated polypropylene/glass fibre fabrics was studied for two mould geometries, i.e. a square mould and a mould with three studs. The principal objective of this study was to evaluate the feasibility of direct thermoforming of unconsolidated fabrics in complex moulds, since this process offers the potential of reducing the cost of the raw material by eliminating the separate consolidation step performed prior to moulding. In this work, the unconsolidated and consolidated fabrics plies were heated in a convection oven and then quickly transferred to a press to be simultaneously conformed and (re-)consolidated using a rubber punch and a metal cavity. Results show that similar product quality (evaluated by the void content) can be obtained with unconsolidated and consolidated fabrics once conformation to the mould shape is achieved. A minimal forming temperature of 215 °C is required to achieve conformation to the mould shape, while minimal forming pressures of 2 and 3 MPa must be applied to achieve the same objective for the consolidated and unconsolidated fabric, respectively. Increasing the punch hardness, varying the fabric orientation and increasing the number of vents could reduce the pressure necessary to produce conformation to the mould shape.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.224
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2005
Admission routes1
Has abstractyes

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