DocumentCode
721379
Title
MetaTracts - A method for robust extraction and visualization of carbon fiber bundles in fiber reinforced composites
Author
Bhattacharya, Arindam ; Heinzl, Christoph ; Amirkhanov, Artem ; Kastner, Johann ; Wenger, Rephael
Author_Institution
Ohio State Univ., Columbus, OH, USA
fYear
2015
fDate
14-17 April 2015
Firstpage
191
Lastpage
198
Abstract
This work introduces MetaTracts, a novel method for extracting and visualizing individual fiber bundles and weaving patterns from X-ray computed tomography (XCT) scans of endless carbon fiber reinforced polymers (CFRP). The proposed work flow is designed to analyze unit cells of CFRP materials integrating the recurring weaving pattern. It is designed to handle XCT scans of low resolution, in which individual fibers are not visible or are barely visible. First, a coarse version of integral curves is used to trace subsections of the individual fiber bundles in the woven CFRP materials. We call these sections MetaTracts. In the second step, these extracted fiber bundle sections (MetaTracts) are clustered using a two-step approach: first by orientation, then by proximity. The tool can generate volumetric representations as well as surface models of the extracted fiber bundles to be exported for further analysis. We evaluate the proposed work flow on a number of real world datasets and demonstrate that MetaTracts effectively and robustly identifies and separates different fiber bundles.
Keywords
carbon fibre reinforced composites; computerised tomography; data visualisation; feature extraction; materials science computing; solid modelling; CFRP; MetaTracts; X-ray computed tomography scans; XCT; carbon fiber bundles visualization; carbon fiber reinforced polymers; fiber reinforced composites; integral curves; robust extraction; surface models; volumetric representations; weaving patterns; Carbon; Data visualization; Diffusion tensor imaging; Eigenvalues and eigenfunctions; Reliability; Visualization; Weaving; I.3.8 [COMPUTER GRAPHICS]: Applications; I.4.9 [IMAGE PROCESSING AND COMPUTER VISION]: Applications;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization Symposium (PacificVis), 2015 IEEE Pacific
Conference_Location
Hangzhou
Type
conf
DOI
10.1109/PACIFICVIS.2015.7156377
Filename
7156377
Link To Document