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Classifying Tensile Loading History of Continuous Carbon Fiber Composites using X‐ray Scattering and Machine Learning
Tensile loading history of continuous carbon fiber composites are classified using machine learning and crystallographic data from the polymer matrix. Composites with polyamide-4,10 matrix and unidirectional 10° and 45°, and 0°/90° cross-ply lay-ups and are subjected to single-cycle uniaxial tensile loads corresponding to 25-90 % of their nominal maximum strain, and mapped by X-ray diffraction with approx. 1000 data points from each lay-up.
Mastering the Wrinkling of Self-supported Graphene
Generally, one would expect full delamination of the graphene from the flat part of the substrate decorated with pillar arrays with interpillar distances reaching 240?nm (the GN@pillars_A sample);42, 43 however, this was observed even for the 1 ?m pillar separation length (the GN@pillars_B sample).
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