Abstract
A number of SPH modeling and analysis examples using medical imaging devices such as computed tomography (CT) scan and MRI have seen an increase in the industrial field. In this study, we propose an image processing technique which can quantize the material properties by brightness value and generate three-dimensional (3D) SPH particle models from the sliced CT/MRI image data of composite materials. In the past, to reconstruct a 3D model by CT/MRI medical images, an unstructured grid approach (polygon) was often used to reproduce the complex geometry. However, this could not represent a solid model. We use CT/MRI medical image brightness to arrange for the initial particle coordinates by voxel method instead of polygon approach in this study. The 3D particle data are generated by using threshold selection by the brightness value. Using the proposed method here, we introduce the two-dimensional (2D) elastic analysis and the 3D elastic-plastic analysis for the carbon fiber-reinforced plastic material using the SPH method. It is concluded that SPH composite material analysis using image processing such as CT/MRI and microscope photographs is convenient for evaluating the composite materials.
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Yamagata, N., Sakai, Y., Marcal, P.V. (2016). Modeling and SPH Analysis of Composite Materials. In: Marcal, P., Yamagata, N. (eds) Design and Analysis of Reinforced Fiber Composites. Springer, Cham. https://doi.org/10.1007/978-3-319-20007-1_6
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DOI: https://doi.org/10.1007/978-3-319-20007-1_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20006-4
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