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Record W2484652352 · doi:10.1177/026248931002900202

Effect of Weld Lines on Injection Moulded Fibreglass Reinforced Structural Foams. 2 - Impact and Flexural Properties

2010· article· en· W2484652352 on OpenAlexaff
Mathieu Bégin, Denis Rodrigue

Bibliographic record

VenueCellular Polymers · 2010
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFlexural strengthMaterials scienceCharpy impact testComposite materialFlexural modulusWeld lineThree point flexural testIzod impact strength testPolypropyleneWeldingBendingUltimate tensile strength

Abstract

fetched live from OpenAlex

In the second part of this investigation, the effects of weld lines on impact strength and flexural properties of injection moulded glass fibre reinforced structural polypropylene foams are reported. The results show that Charpy impact strength decreases with density and presence of a weld line. For three-point bending tests, a linear decrease of the flexural modulus and flexural strength as density decreases was found, the latter being more important. There is also a significant decrease of flexural properties for samples with a weld line compared to samples without one of the same density. Also, to evaluate the weakness of the weld line region, off-centre flexural tests were performed to determine the minimum distance at which load should be applied for the failure to no longer occur at the weld line. The results obtained indicate that this distance decreases as density decreases.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
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)0.0020.000

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 head0.006
GPT teacher head0.233
Teacher spread0.228 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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