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Mechanical properties prediction of injection molded short/long carbon fiber reinforced polymer composites using micro X-ray computed tomography
- Source :
- Composites Part A: Applied Science and Manufacturing. 130:105732
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- This paper addresses the challenge of reconstructing nonuniformly orientated fiber-reinforced polymer composites (FRPs) with three-dimensional (3D) geometric complexity, especially for fibers with curvatures, and proposes a framework using micro X-ray computed tomography (μXCT) images to quantify the fiber characteristics in 3D space for elastic modulus prediction. The FRP microstructure is first obtained from the μXCT images. Then, the fiber centerlines are efficiently extracted with the proposed fiber reconstruction algorithm, i.e., iterative template matching, and the 3D coordinates of the fiber centerlines are adopted for quantitative characterization of the fiber morphology. Finally, Young's modulus is predicted using the Halpin-Tsai model and laminate analogy approach, and the fiber configuration averaging method with the consideration of the fiber morphology. The new framework is demonstrated on both injection-molded short and long carbon fiber-reinforced polymer composites, whose fiber morphology and predicted mechanical properties are validated through previous pyrolysis and quasi-static tensile tests, respectively.
- Subjects :
- Carbon fiber reinforced polymer
Materials science
Modulus
Reconstruction algorithm
02 engineering and technology
Fibre-reinforced plastic
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
0104 chemical sciences
Mechanics of Materials
Ultimate tensile strength
Ceramics and Composites
Tomography
Fiber
Composite material
0210 nano-technology
Elastic modulus
Subjects
Details
- ISSN :
- 1359835X
- Volume :
- 130
- Database :
- OpenAIRE
- Journal :
- Composites Part A: Applied Science and Manufacturing
- Accession number :
- edsair.doi...........c7c420349b52e2646759f8dff2065a64