A hybrid numerical and imaging approach for characterizing defects in composite structures |
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| Affiliation: | 1. College of Engineering & Applied Science, University of Wisconsin, Milwaukee, WI 53211, USA;2. Middleton Spectral Vision, 8505 University Green, Middleton, WI 53562, USA;1. Industrial and Materials Science, Chalmers University of Technology, Hörsalsvägen 7B, SE-41296 Göteborg, Sweden;2. Swerea SICOMP AB, Mölndal, Sweden;3. GKN Aerospace Sweden AB, Flygmotorvägen, SE-46181 Trollhättan, Sweden;1. Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Foshan 528000, China;2. Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Wuhan University of Technology, Wuhan 430070, China;3. State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China;4. Department of Mechanical Engineering, University of Bristol, Bristol BS8 1TR, UK;1. Department of Materials and Production, Aalborg University, Fibigerstraede 16, 9220 Aalborg East, Denmark;2. Bristol Composites Institute (ACCIS), University of Bristol, Queens Building, Bristol BS8 1TR, United Kingdom |
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| Abstract: | In this study, a hybrid approach coupling hyperspectral near infrared imaging with a progressive finite element method is proposed for characterization of the elastic and failure response of composites with non-uniform variations of the wrinkles profile through the thickness and across the structure dimensions. In this approach, hyperspectral near infrared spectroscopy is used to create a 3D profile of the surface resin pockets with the capability of measuring resin thickness from approximately 125 to 2500 μm. These resin pockets are directly correlated to underlying ply level wrinkling as confirmed by optical microscopy. The 3D mapped resin plane obtained from the hyperspectral imaging is used to morph a ply-by-ply finite element model of a carbon-fiber/epoxy resin laminated plate using a progressive damage failure methodology. The results show the capability of the hybrid method to predict the structural response in laminated composites containing spatially distributed and non-uniform ply-level wrinkling. |
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| Keywords: | A Polymer-matrix composites (PMCs) B Defects C Damage mechanics D Optical microscopy |
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