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Record W2100685901 · doi:10.2514/6.2005-1853

Characterization and Modeling of Strength Enhancement Mechanisms in a Polymer/clay Nanocomposite

2005· article· en· W2100685901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference · 2005
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsNational Research Council Canada
FundersUniversity of AlabamaNational Aeronautics and Space Administration
KeywordsMaterials scienceComposite materialCompressive strengthUltimate tensile strengthNanocompositeComposite numberPolypropyleneScanning electron microscope

Abstract

fetched live from OpenAlex

The compressive failure of continuous fiber reinforced composites has received considerable attention in the recent years because it typically occurs at a stress level that is 40-50 % below the tensile strength of the composite. This paper is primarily focused on enhancing the compressive strength of polymer matrix composites (PMC) through a series of modifications in material composition and thermoplastic pultrusion manufacturing process variables. Low-cost commodity resins such as polypropylene (PP), suffer primarily due to low compressive strength. Enhancement of the compressive strength of pultruded thermoplastic composites is achieved by improving the yield strength of the surrounding matrix in shear and reducing fiber misalignment in the composite through optimization of manufacturing process variables. The dispersed platelets are typically one micron in length but only a nanometer in thickness. A single-screw extruder was used to facilitate nanoclay dispersion in PP. This new family of materials exhibits enhanced stiffness and strength of the matrix material, through the inclusion of exfoliated nano-scale montmorillonite particles in the fabrication of resin pre-impregnated (prepreg) glass fiber filaments. After the prepreg was pultruded to form a composite laminate, uniaxial compression tests were performed to determine compression strength of the laminate. Scanning Electron Micrographs (SEM) were taken to examine the failure surfaces. Transmission Electron Microscopy (TEM), were also employed to reveal all nano-scale platelet morphologies, namely exfoliated, intercalated and stacked structures within the samples. Dramatic improvement in compressive strength and compressive modulus were observed with relatively low nanoclay loadings. Compressive strength tests were also performed on aged pultruded PP composite with 0% and 1 % nanoclay loadings, and the data were compared with compressive strength data for unaged specimens. A significant increase (12-20%) in compressive strength was observed after the specimens have been aged for 15 months under ambient conditions. However, a 30% decrease in compressive modulus due to aging was recorded for specimens with 1% clay loading. Multi-scale simulations of nanoclay/polymer interface behavior are currently in progress in order to understand the strength enhancement mechanism.

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.

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 score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
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 head0.009
GPT teacher head0.222
Teacher spread0.213 · 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