Regensburg 2016 – scientific programme
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MM: Fachverband Metall- und Materialphysik
MM 55: Methods in Computational Materials Modelling III: Machine learning and statistics
MM 55.5: Talk
Thursday, March 10, 2016, 12:45–13:00, H53
Quantitative analysis of the interface layers in textile-3D print composites by image processing — •Andrea Ehrmann1, Tomasz Blachowicz2, Hafed Zghidi3, Maksym Walczak3, and Nils Grimmelsmann1 — 1Bielefeld University of Applied Sciences, Faculty of Engineering Sciences and Mathematics, Bielefeld, Germany — 2Silesian University of Technology, Institute of Physics, Gliwice, Poland — 3Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice (Poland)
Computational materials modeling is nowadays standard research technique as a counterpart to classical experimental and theoretical activity.
In this work we identify different solid-state phases derived from analysis of grey-scaled two-dimensional images captured optically. An original image was split into virtual sub-layers falling into different ranges at the grey-level level. Numerical analysis performed at the sub-images was carried out using a random walk approach. The method enables quantitative diagnosis of different material components and differentiation between samples prepared at different physical conditions.
We will depict results of cross section micrographs taken from FDM printing with different thermoplastics on textile substrates, allowing for giving a quantitative description of the interface layer structure.