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Record W4389540832 · doi:10.17118/11143/21078

Experimental study on the effect of moisture on the anisotropicmechanical behaviour of direct compounded compression moulded glass/PA6 LFTcomposites under shear loading

2023· article· en· W4389540832 on OpenAlexaff
Pouya Mohammadkhani, Tarun Khapra, William Altenhof

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis of Composite Materials
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMaterials scienceComposite materialAnisotropyShear (geology)MoistureCompression (physics)

Abstract

fetched live from OpenAlex

The automotive industry has made reducing weight a top priority due to the benefits of increased fuel efficiency and reduced emissions.Thermoplastic matrix composites have become increasingly prevalent in recent years due to their distinctive properties, such as fracture toughness, reheating ability, improved impact resistance, recyclability, and cost-effectiveness compared to the current state-of-the-art thermoset materials and processes.Long-fibre thermoplastic (LFT) materials are extensively utilized in the automotive and aerospace industries, and it is critical to comprehend their mechanical performance under varying loading and environmental conditions.Material characterization under shear loading is essential for the precise analytical and numerical modelling of novel LFT structures in crashworthiness design to capture the anisotropic behaviour.In order to evaluate the shear response of LFT materials, this study employed a V-Notched Beam Shear Testing (Iosipescu -ASTM D5379) apparatus to examine direct compounded compression moulded Polyamide6 (PA6)/glass LFTs with a fibre content of 30% in two different flow and charge regions.Engineering shear strain and effective strain data were recorded using MTS video extensometers and Correlated Solutions VIC-2D DIC software for post-processing.This study aimed to determine the influence of moisture content on the LFT materials by comparing both dried and undried samples during shear loading.Moisture content was released from the specimen in nine days following the establishment of steady-state mass reduction in a vacuum oven at 80C.Anisotropic material characterization was completed in four different specimen directions, namely, 0, 90, and 45 orientations relative to the flow direction during compression moulding.Experimental observations indicated that specimens with a 45 orientation had higher shear modulus compared with other directions, as they exhibited 4.78 GPa shear modulus for dried samples and 3.75 GPa for undried samples.However, the ultimate shear strength recorded for this direction was 72.6 MPa, which was lower than the response of 82.4 MPa for the charge 0 direction.In both environmental conditioning, the charge region displayed a higher shear property than the flow region, especially in the 0 direction.Furthermore, the presence of moisture content changed the material's behaviour from brittle to ductile during shear loading.Consequently, under various testing conditions, humidity significantly reduced the shear modulus from 16% to 30%.Moreover, there is a corresponding decrease in ultimate shear strength from 13% to 29% based on the results.

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 score0.021
Threshold uncertainty score0.591

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 head0.018
GPT teacher head0.272
Teacher spread0.254 · 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
Published2023
Admission routes1
Has abstractyes

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